We are seeking a Junior Angular Developer to join our team to design and develop web applications. The ideal candidate will work closely with the development team to ensure that all applications are designed and developed to the highest standards. Requirements: • At least 1 year of experience in Angular development. • Experience with HTML, CSS, JavaScript, and TypeScript. • Familiarity with RESTful APIs and web services. • Knowledge of software development methodologies and practices. • Experience with Git and other version control systems. • Familiarity with Agile methodologies. • Experience with UI/UX design. • Familiarity with server-side technologies such as Node.js and Python. If you meet the above requirements and are passionate about developing high-quality web applications, please apply for this exciting opportunity today.

If you're ready to take your front-end development skills to the next level, apply now and let's make some magic happen! And don't worry, we won't judge if you celebrate your first day with a victory dance (we'll probably join in) Do you tick the boxes!! A degree in Computer Science, Information Systems, Business Administration, Commerce, or equivalent (we don't discriminate against self-taught developers, though!) At least 2 years of experience in front-end development using Java, JavaScript, React, and Angular (bonus points if you've dabbled in other languages like Python or .Net) Strong communication skills that can make even the most boring technical jargon sound exciting Excellent problem-solving and analytical skills (if you can solve a Rubik's cube blindfolded, we want to hear about it) Good understanding of OOP concepts (if you've ever dreamed of programming your own robot, you're our kind of developer) Design and develop client-side applications that will make users say "Wow!" Utilize your object-oriented design skills to create reusable components that will leave your teammates green with envy Analyze and troubleshoot complex problems like a detective solving a mystery Be a modern-day superhero by using cutting-edge software architecture and design patterns to take our platform to new heights Use your database skills to crush performance issues like a champion weightlifter    

PBT Group has an opportunity for a BI Big Data Engineer Specialist to interpret requirements provided by business and produce effective Big Data solutions. Programming exposure for data transformations and integrating the big data solution with existing systems. Develop information solutions from a variety of sources for both structured and unstructured data. Productionisation of machine learning models. Technical ownership of Big Data solutions for structured and unstructured data.   Duties:Develop and implement big data models and solutions Research, prototyping and design Feature set engineering and automation Design and implement ETL/ELT methodologies and technologies and the integration with big data Work in an Agile environment and attend to daily standups, retros and sprint planning Conduct root cause analysis on production issues Technical leadership of entire information management process of both structured and unstructured data Provide ongoing support and enhancement to ETL/ELT system Optimization of the solutions Implementing machine learning algorithms in production through integration Configuration of the Hadoop infrastructure and environment for optimal performance Integrate with statistical and actuarial analysts to build models Producing relevant technical documentation and specifications Estimate time and resource requirements for business requirement Integration of big data solutions with existing reporting and analytical solutions Optimization of machine learning models produced by Data Scientists. Develop data processing functions (DPF’s) using Java and Python  Experience:SQL (Advanced) Data Warehouse principles and practices (Advanced) Docker and container setup (Intermediate) Linux Shell Scripting (Intermediate) Python/R/Scala Programming (Intermediate) Git versioning Flask/Django framework CI/CD Systems Development Life Cycle (SDLC) (Intermediate) Spark framework Configuration (Intermediate) Data Security and Protection Policies (Intermediate) MS Excel (Intermediate) Kimball Methodology (Intermediate) ETL development using SSIS, Python & Java (Intermediate) Java/.net Programming (Advantageous) Big Data using Hadoop (Advantageous) Big Data Ingestion using Sqoop/Kafka (Advantageous) Linux administration (Advantageous) Distributed programming skills on a cluster environment (Advantageous)  Qualifications/ Certification:Matric (Essential) National Diploma in IT (BTech) or appropriate certification (Essential) Bachelor of Science (Information Systems, Computer Science, Mathematics) Advantageous 

PBT Group has an immediate requirement for a Test Analyst to provide testing services.   The main purpose of this position is the end-to-end testing. The testing will cover both the backend (ETL, Database layers, Star Schemas, Cubes) and front-end reports (BI Analysis and Reporting) aspects of the solution. This testing includes functional testing, performance testing, and regression testing as well as coordinating and reporting on User Acceptance testing (UAT) execution and sign off.   Duties: The responsibilities of the successful candidate will include the following:Participating in the project throughout the remaining life cycle of a project. The Test Analyst will be responsible to planning, execution and obtaining sign-off of all testing deliverables. Defining the test approach for the project and highlighting and mitigating risks. Preparing test data to align to the testing scenarios in each technical environment. Assisting with enforcing the Testing Centre of Excellence (TCoE) standards within the project. Maintenance of testing defects and testing results. Reporting and obtaining sign off for each test cycle. Functional, Regression, Performance, Stress testing and User Acceptance Testing:Test Approach; Test Plans; Test Scripts; Test Execution Results; Defects Management Reports; Test Deliverable Sign-off Certificates; Test Closure Reports; Knowledge Transfer Document per Project; and Test Completion Sign Off.  Must have experience:Three to six years’ experience in Test execution and Test Lead Three to six years experienced in conducting functional testing, performance testing, and regression testing as well as coordinating and reporting on User Acceptance testing preparation, execution and sign off. Must have testing experience in a BI environment Experience in working on data warehousing projects A strong understanding of ETLs, Logical Data Models, Star Schemas and Cubes Experience in working in an Agile environment.  The following will be an added advantage:Creating SQL queries for validating the testing back-end data. Strong understanding of the BI environment and terminology. Formal training on HPQC and QTP Creating scripts for Automation testing. Experience in working on an OBIEE project that used Kimball as a foundation  Competencies:Conceptual Thinking; Attention to detail; Effective Communication; Managing complexity and ambiguity. Ability to learning quickly; Agility; Analysis and problem solving; Judgement and decision making; Team oriented; Management Reporting; Resilience; and Self-starter.    Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent ISTQB TA or similar certification is a must. 

PBT Group has an opportunity for a Business Intelligence Business Analyst (BIBA). A BI Business Analyst or BIBA has a crucially important role to play, in bridging any gaps between business and IT, to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value for clients.   The Business Intelligence Business Analyst (BIBA) primarily serves as liaison between the end users and BI project team and gathers business requirements. The BIBA is an expert in understanding business objectives, questions, and problems, and at obtaining and presenting data to address the issues. The analyst understands the tools and techniques used to create data results that range from basic queries through multidimensional analyses and data mining, forming new relations and derivations as necessary, and extracting the maximum amount of valid information content from the data. Extensive insight into the business and the data are essential.   The BIBA participates in design of data marts to provide the optimal balance of data availability, format, flexibility, and performance. The BIBA is involved in the end-to-end Data Product Lifecyle, including requirement definition, data analysis, data modelling.   Duties:  Requirement’s definition phase:Interview end users to determine requirements for data, reports, analyses, metadata, training, service levels, data quality, and performance Help identify and assess potential data sources Validate that BI meets requirements and service level agreements Coordinate prototype reviews Gather prototype feedback Document requirements in relevant formats:Data Warehouse content requirements Data Mart requirements Information output requirements Information exploitation tool – functional requirementsData Profiling, Feasibility and Scope Definition Phase:Analyse business information requirements Recommend appropriate scope of requirements and priorities Work with production data to validate business requirements Map business needs/requirements to subject area model and to logical enterprise model Discover dimension hierarchies Validate hierarchies with production data Define business rules for state detectionDesign Phase:Work with architects to translate requirements into technical specifications Discover business transformation rules Work with production data to design access structures Classify business users by type Develop security rules/standards Create state transformation modelsDevelopment Phase:On-hand support to development team to accurately interpret requirements and translate into a quality solution.Testing Phase:Plan acceptance test (functional and data integrity) Execute acceptance test plan internally Facilitate user acceptance testingChange Management and Deployment:Educate users on warehousing capabilities Design training infrastructure Define and get agreement with business users on service-level agreements Develop training materials Write users' guide Train BI users Assist with definition of support plan Interface with process teams regarding business process reengineering Assist users in finding the right information  Skills and Experience Required: At least 3 / 5 years’ experience with a proven track record of delivering Data & Analytics projects through facilitating the Data/Analytics Development Lifecycle.  General BA competenciesBusiness analysis planning and monitoring Requirement’s elicitation Requirements management and communication Business architecture analysis Requirement’s analysis Solution assessment and validationBA tools and techniquesAcceptance and Evaluation Criteria Definition Benchmarking Brainstorming Business Rules Analysis Data Dictionary and Glossary Data Flow Diagrams Data Modeling Decision Analysis Document Analysis Focus Groups Interviews Metrics and Key Performance Indicators Non-functional Requirements Analysis Observation Organization Modeling Problem Tracking Process Modeling Prototyping Requirements Workshops Risk Analysis Scenarios and Use Cases Structured WalkthroughPersonal skills:Strong communication skills. Good writing skills. Must be able to pay attention to detail. Work independently. Must be a team player. Work on more than one project at a time. Strong leadership and people skills (will be required to work closely with all Data & Analytics Guilds and with business users)BI Project related skills:Apply BIBA methodology in agile environmentsStrong SQL skills Some systems analysis (source-to-target mappings, data profiling) Deep knowledge of modern data platformsGood general understanding of the relevant industry. Substantial business analysis experience in a BI environment. A good understanding of business processes. Ability to assimilate and apply relevant business principles. Be able to work within the framework of project methodologies and work independently on support and maintenance tasks.  Required Qualifications/ Certification:Ideally candidates should have an IT or business-related qualification. FTI or similar BA qualification will be advantageous. 

Job Summary:   We are looking for a skilled Business Analyst to join our team. The successful candidate will have experience and qualifications in Business Analysis, as well as expertise in Business, Process, and Data analysis. The Business Analyst will be responsible for identifying, refining, clarifying, and defining the business needs of the organization. They will also be involved in requirements documentation, project requirements planning, and stakeholder management and communication.   Responsibilities:  Execute business analysis methodology to identify, refine, clarify, and define the business need. Assist with project requirements planning. Apply and anticipate technical expertise to ensure project success. Develop process documentation to support business operations. Create business requirements specifications. Assess the impact of changes on business processes and data. Understand data models and how they relate to business processes. Produce ad-hoc reporting as needed. Ensure process and data integrity. Manage stakeholders and communicate effectively with project teams and stakeholders. Utilize strong business analytic skills to identify areas for improvement and develop solutions. Contribute to successful project outcomes by utilizing project management skills and experience.  Qualifications:  Bachelor’s degree in business administration, Computer Science, or related field (Preferred) 3+ years of experience in Business Analysis or related field Expertise in Business, Process, and Data analysis Strong understanding of project management principles and methodologies Excellent written and verbal communication skills. Demonstrated ability to work collaboratively in a team environment. Experience with requirements documentation, stakeholder management, and process documentation Ability to anticipate technical needs and apply technical expertise. Strong business analytic skills and ability to identify areas for improvement and develop solutions.If you meet the above qualifications and are passionate about business analysis, we encourage you to apply for this exciting opportunity!

PBT Group has an opportunity for a Business Intelligence Business Analyst (BIBA). A BI Business Analyst or BIBA has a crucially important role to play, in bridging any gaps between business and IT, to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value for clients.   The Business Intelligence Business Analyst (BIBA) primarily serves as liaison between the end users and BI project team and gathers business requirements. The BIBA is an expert in understanding business objectives, questions, and problems, and at obtaining and presenting data to address the issues. The analyst understands the tools and techniques used to create data results that range from basic queries through multidimensional analyses and data mining, forming new relations and derivations as necessary, and extracting the maximum amount of valid information content from the data. Extensive insight into the business and the data are essential.   The BIBA participates in design of data marts to provide the optimal balance of data availability, format, flexibility, and performance. The BIBA is involved in the end-to-end Data Product Lifecyle, including requirement definition, data analysis, data modelling.   Duties:  Requirement’s definition phase:Interview end users to determine requirements for data, reports, analyses, metadata, training, service levels, data quality, and performance Help identify and assess potential data sources Validate that BI meets requirements and service level agreements Coordinate prototype reviews Gather prototype feedback Document requirements in relevant formats:Data Warehouse content requirements Data Mart requirements Information output requirements Information exploitation tool – functional requirementsData Profiling, Feasibility and Scope Definition Phase:Analyse business information requirements Recommend appropriate scope of requirements and priorities Work with production data to validate business requirements Map business needs/requirements to subject area model and to logical enterprise model Discover dimension hierarchies Validate hierarchies with production data Define business rules for state detectionDesign Phase:Work with architects to translate requirements into technical specifications Discover business transformation rules Work with production data to design access structures Classify business users by type Develop security rules/standards Create state transformation modelsDevelopment Phase:On-hand support to development team to accurately interpret requirements and translate into a quality solution.Testing Phase:Plan acceptance test (functional and data integrity) Execute acceptance test plan internally Facilitate user acceptance testingChange Management and Deployment:Educate users on warehousing capabilities Design training infrastructure Define and get agreement with business users on service-level agreements Develop training materials Write users' guide Train BI users Assist with definition of support plan Interface with process teams regarding business process reengineering Assist users in finding the right information  Skills and Experience Required: At least 3 / 5 years’ experience with a proven track record of delivering Data & Analytics projects through facilitating the Data/Analytics Development Lifecycle.  General BA competenciesBusiness analysis planning and monitoring Requirement’s elicitation Requirements management and communication Business architecture analysis Requirement’s analysis Solution assessment and validationBA tools and techniquesAcceptance and Evaluation Criteria Definition Benchmarking Brainstorming Business Rules Analysis Data Dictionary and Glossary Data Flow Diagrams Data Modeling Decision Analysis Document Analysis Focus Groups Interviews Metrics and Key Performance Indicators Non-functional Requirements Analysis Observation Organization Modeling Problem Tracking Process Modeling Prototyping Requirements Workshops Risk Analysis Scenarios and Use Cases Structured WalkthroughPersonal skills:Strong communication skills. Good writing skills. Must be able to pay attention to detail. Work independently. Must be a team player. Work on more than one project at a time. Strong leadership and people skills (will be required to work closely with all Data & Analytics Guilds and with business users)BI Project related skills:Apply BIBA methodology in agile environmentsStrong SQL skills Some systems analysis (source-to-target mappings, data profiling) Deep knowledge of modern data platformsGood general understanding of the relevant industry. Substantial business analysis experience in a BI environment. A good understanding of business processes. Ability to assimilate and apply relevant business principles. Be able to work within the framework of project methodologies and work independently on support and maintenance tasks.  Required Qualifications/ Certification:Ideally candidates should have an IT or business-related qualification. FTI or similar BA qualification will be advantageous. 

PBT Group has an opportunity for Azure Developers who are well versed in the Azure Stack.   Duties:Assist in the creation of ADF data replication and transformation pipelines. Help upskill the team with the use of ADF. Assist with performance tuning of the target databases and with the creation of database maintenance jobs where necessary. Manage the BI Development life cycle, ensuring adherence to best practice coding standards. Maintain and develop the BI systems. Create and build dashboards and reports. Development within an Azure based platform helping in the deployment. Ensure that the design of BI solutions is scalable and aligned to the architecture principals of the Data Warehouse.  Experience:2+ years experience in using Data Factory in conjunction with Azure DevOps for source control and deployment across dev/test/prod environments would be ideal. This would include experience in templatizing ADF flows for use across different environments. Strong SQL Server experience Azure SQL Managed Instances experience preferred. Experience with Columnar Indexes in SQL Server will be an advantage. Solidly skilled within the Azure environment with hands-on experience in setting up and developing ETL and Storage components within Azure Data Factory, Azure Data Lake and Azure SQL DB. Ability to optimize the azure environment to not only manage performance but also cost effectiveness. Ability to provide technical input to current technical teams/ process analysts and project leads in order to provide technical guidance with regards to technology component fit and functional requirement vetting. Should have sufficient experience to operate autonomously and proactively provide technical direction. Excellent verbal and written communication skills coupled with analytical problem-solving skills. Ability to write quality unit and end–to–end tests; debug and optimize existing and new code.  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent

PBT Group has an opportunity for a Data Analyst for a position based in Cape Town. Guided by Lead Analyst(s), this role will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end users to develop differentiating business insights.   We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.   They will assist in specifying complex business rules using the specified toolsets to enable the data modelers to create complex analytical models. Hence, they need to understand and continuously seek to build knowledge of data and information.   The person fulfilling this role will not only analyse data models, but also test the outputs, investigate & troubleshoot data issues and devise solutions in line with best practice. A high competency in problem solving capabilities is thus essential. They should be able to communicate business information to technical teams, as well as be competent in communicating challenges and solutions to the team.   An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance.   You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and create reports/dashboards.     Duties:Data PreparationAcquire data from various data sources and combine & transform data into interpretable datasets, reports or dashboards Assess the effectiveness and accuracy of new data sources and data gathering techniques Extend the company’s data with third party sources of information when required Process, cleanse and verify the integrity of data used for analysis Perform data profiling of data contained in source systems Provide detailed analysis of all data implemented into the database Provide the data mapping and associated transformation rules for each data item Ensure that the business requirements and subsequent development activities are supported by accurate information. Analysis and VisualisationInterpret data, analyse results using analytical techniques and provide reports and/or dashboards Identify, analyse, and interpret trends or patterns in complex data sets Use data to answer key questions about the business. Own and maintain dashboards, ongoing reporting, and ad hoc requests from the organization. Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, application level, subject-level, integrated, etc.) Assist Data Modelers to draw up detailed data models. Stakeholder EngagementWork directly with management and other business users to gather requirements, provide status updates, and build relationships Present information using data visualisation techniques Facilitate of requirements gathering workshops with the business Collaborate with internal and external stakeholders to analyse information needs, functional requirements and business processes Coaching/MentorshipProvides problem solving assistance to other team members Coach and assist junior team members; i.e. junior Analysts  Experience:Functional experience in analytics, data visualisation or reporting 2-5 years of experience performing data analysis in a BI environment Knowledge of and experience with reporting packages Adept at queries, report writing and presenting findings for stakeholder use Experience working with data in various data sources and databases Ability to translate business requirements into non-technical terms Demonstrated experience in handling large data sets and relational databases with proven SQL skills Ability to comply to and manage data assets under strict governance framework Experience in agile development desired Business experience in financial services would be advantageous Ability to work with data profiling, data quality and reference data toolsets advantageous Ability to translate business requirements into non-technical terms Strong analytical-thinking and problem-solving abilities Ability to collect, organize, analyze, and disseminate significant amounts of information Attention to detail and accuracy  Qualifications/ Certification:Diploma/Bachelor Degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent (preferred but not essential) 

PBT Group, leaders in Business Intelligence, has a vacancy for a Microsoft SQL Data Engineer. Duties: - Plan and analyse complex business requirements and implement technology enabled solutions to address multi-discipline business opportunities/problems. - Conduct planning, analysis and design activities in conjunction with other development specialists. - Participate in analysis of complex business opportunities/problems to deliver designs meeting requirements. - Participate in estimation of tasks and assist in the development of project plans. - Code or makes modifications to programs of high complexity, according to specifications. - Conduct medium to high complexity evaluations for product releases, stand-alone products, etc. - Conduct walkthroughs and quality review of deliverables. - Knowledge of design and developing end-to-end data acquisition processes to be used in population of data warehouse/data marts and/or in the creation of interfaces. - Provide guidance and mentoring on business intelligence technology and systems in general, especially in the area of ETL processes. - Participate in the formulation of standards to support the data acquisition development process. - Design, develop and execute complex data acquisition or interface routines using ETL tool, ensuring that business and technical requirements are met. - Ensure compliance with established policies, standards and methodologies.   Required Skills: - Strong MS SQL Data Engineering experience - Solid SSIS (SQL Server Integration Services) experience. - Solid SSRS (SQL Server Reporting Services) experience. - Ability to analyse and define requirements - Database design - Intimate knowledge of source systems as well as a basic understanding of dimensional models. - Conventional database- and data warehouse modeling skills, in order to understand the data warehouse data models. - A sound knowledge of the programming language used to write the data staging programs or ETL tool. - A sound knowledge of SQL, or the language used to access the source databases and the data warehouse from the data staging programs or ETL tool. - A sound knowledge of the capabilities of the ETL tools, to know what their capabilities and shortcomings are – in order to exploit or avoid those aspects in the data staging programs. - Pride of work, thoroughness and attention to detail.   Required Qualifications / Training: - Course on the ETL / related toolset. - Relevant data warehouse and BI solution training is essential. - B.Sc. or related degree is advantageous. - 2+ years programming experience.

PBT Group has an opportunity for a Senior Java Developer. We are looking for an exceptional individual to build Java integration services and applications with an enthusiasm for solving interesting technical challenges in a Banking environment. Be involved in all aspects of development playing a critical role in design, planning, development and deployment.   The ideal candidate will not just be an outstanding Java developer, but will bring a mindset of creativity, innovation and balanced bleeding edge technology development with a relentless pursuit of timely product engineering delivery. The role requires ownership, logical thinking, and estimation of your own work, coding, unit testing, trouble shooting and performance optimizations. The candidate will work in an Agile (SCRUM) environment and will be allocated and co-located to a small agile development team (squad). The candidate will collaborate with team members to understand the problem & define, design, and ship new features through the development lifecycle. This includes brainstorm, contribution to new ideas, conceive innovative strategies, and implement solutions to difficult problems. Must be able to work independently, effectively and efficiently in a collaborative agile environment with scrum masters, solution engineers, designers, and developers.     Duties: Key Roles, Responsibilities and Skills/Competencies:Strong technical/ software engineering background (‘hands-on’) Strong application/software development or programming background in Java Good experience in system, application architecture, design, development, implementation and deployment (end-to-end). Ability to work on different tiers of the application Object oriented Design and MVC-pattern Experience on web technologies (Web Development JavaScript Frameworks - preferably Angular 4, JavaScript, CSS, HTML5, Etc.) Solid experience on J2EE (Servlet, JSP, JDBC, JMS, EJB), Spring Framework, JPA, Hibernate, Open-Source Frameworks Solid experience with SOA-Architecture with the related integration protocols (e.g., Web Services (SOAP/XML), REST & JSON, and MQ), as well as the related SOA-security requirements/models. Solid application database management practices in a high-volume Java environment (SQL, DB2, and NoSql – Cassandra/MongoDB). Solid JEE/WebSphere Foundation experience, especially on WebSphere Application Server, JBOSS, Linux, Virtualisation technologies and Caching technologies. Design, build and run of IBM Websphere Application Server Infrastructure Solutions Migration from proprietary Application Servers to WAS Performance and troubleshooting of WAS Infrastructure Good experience with integrated system environments Practical experience in a high-volume banking environment. (E.g., application clustering, scaling, multi-threading, session management, etc.) Experience with re-use and standardisation, security considerations, deployment architecture like automated application builds, software configuration management & tools, etc. Experience with Application Integration challenges in a big corporate environment with ESB’s e.g. WebSphere MessageBroker, DataPower, MQ-Series, and API-Connect. Proven ability as a problem-solver Self-driven, self-starter, technology leader, and able to work independently.Must have working experience on the following tools/IDEsEclipse InteliJ Git Maven Jenkins SonarQube NexusDebugging & troubleshooting. Write well documented and maintainable code. Passion for software excellence and be quality driven. You must be prepared to bring new ideas to the workplace, but also to accept how things have been done and the reasons for doing things this way.  Experience:10+ years Java application programming/development experience 8+ years JEE-Experience 5+ years Application Server experience i.e. Websphere Application Server 5+ years relational database experience (DB2 preferred) Strong application/software development or programming background in Java. Good experience in system, application architecture, design, development, implementation and deployment (end-to-end). Ability to work on different tiers of the application Object oriented Design and MVC-pattern. Experience on web technologies (Web Development JavaScript Frameworks - preferably Angular 4, JavaScript, CSS, HTML5, Etc.). Solid experience on J2EE (Servlet, JSP, JDBC, JMS, EJB), Spring Framework, JPA, Hibernate, Open Source Frameworks. Solid experience with SOA-Architecture with the related integration protocols (e.g. Web Services (SOAP/XML), REST & JSON, and MQ), as well as the related SOA-security requirements/models. Solid application database management practices in a high volume Java environment (SQL, DB2, and NoSql – assandra/MongoDB). Solid JEE/WebSphere Foundation experience, especially on WebSphere Application Server, JBOSS, Linux, Virtualisation technologies and Caching technologies. Design, build and run of IBM Websphere Application Server Infrastructure Solutions Migration from proprietary Application Servers to WAS. Performance and troubleshooting of WAS Infrastructure. Good experience with integrated system environments.  Qualifications/ Certification:B-Degree in Computer Science or related technical field.

  Are you looking for an exciting role where you can showcase your expertise in software testing? Join our team as a Senior Tester where you will be responsible for reviewing business requirements and use cases, executing tests for our policy administration system (OIPA), money management system (D365), and correspondence system. Additionally, you will help drive PMO maturity, improve processes, and provide leadership to junior testers.   To excel in this role, you should have a minimum of 2 years of experience on the OIPA platform (development, integration, testing, and maintenance). You must be experienced in Java, Python, C#, GET, PUT, POST, and DELETE API's for OIPA service layer application, with application experience in functional testing, regression testing, integration testing, and UAT. You should be familiar with Agile and Scrum methodologies and have experience testing calculations as per business requirements.   You must be able to create test cases and executing them, along with being trained on Oracle Insurance Policy Administration (OIPA) version 11.3.1.1, with hands-on experience in client onboarding, logging cases, application processing, and policy creation.   Certifications in ISTQB, SQL, AWS Cloud Practitioner are preferred.   As a Senior Tester, you will also be responsible for identifying risk areas associated with the project and testing objectives, defining and implementing a test framework, and supervising the creation, modification, and execution of test cases.   You will also be involved in analyzing functional specification documents, identifying testing scope, and preparing business scenarios. You will lead a team and monitor deliverables for accuracy and compliance while planning and organizing the knowledge transfer to the team.   If you are an expert in software testing, project management, and have a passion for delivering high-quality software products, apply now and be a part of our dynamic team!

Join our team as an Oracle Pl/SQL and APEX Developer and take on a challenging role in a large software suite. As a primary developer, you will be responsible for both front-end and back-end development, technical analysis, and functional and technical documentation.   To be successful in this role, you must have at least 5 years of solid development experience and a 3-year degree or diploma in Information Technology, Computer Science, or Software Engineering (Preferable)   You must also possess solid knowledge and experience with Oracle APEX (version 19 or later), Oracle Pl/SQL, SQL, and technical analytical skills.   You must be familiar with software development methodologies and the software development life cycle and have a strong understanding of IT processes and procedures.   Additionally, we are looking for someone who is a problem solver, has a strategic mindset, and understands business processes.   You must have excellent adherence to best practices, be able to examine information critically, and have experience with application servers like Tomcat 7 or higher. Knowledge of Java/JEE, C or C++ and solid web services experience will be advantageous, but not essential.   If you are up for the challenge and want to be part of a dynamic team, apply now and join us in driving innovation and excellence in software development.

PBT Group has an opportunity for a Data Engineer for an opportunity in Johannesburg.   Duties:Collecting, centralizing, and consolidating large amounts of data from multiple sources by applying data extraction, transforming and load techniques which allow organizations to derive valuable business insights from their data to improve decision-making and enables reporting and analysis. Collaborate with business in defining necessary architecture, design and build data engineering solutions for business enablement. Identify, source, and make available key data required for day-to-day operational reporting and analytics in the Analytics Ecosystem platform. Implement an automated data orchestration and quality solution to ensure reliable and readily available data. Create and publish data products to enable strategic business initiatives in the Analytics Ecosystem platform.  Experience:Azure Data Engineering (Azure Data Factory, Azure Synapse, Power BI)  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent 

PBT Group has an opportunity for a Senior Data Scientist to build and implement (ML) models to improve business processes resulting in efficiencies and cost savings. Develop data driven insights to help identify trends and opportunities and provide solutions based on these insights. Provide in depth analysis of data using data mining and profiling techniques to understand current business challenges and predict future needs. Effective communication of results to stakeholders.   Experience:Data science experience 5 – 8 years’ experience applying analytical methods to business problems, including build and implementation of models (machine learning, GLM, etc.) Experience working in the general insurance industry will be advantageous Mandatory skills: PYTHON, Azure, Machine Learning Solutions Strategic: Is able to understand, identify and acts on broader opportunities in order to drive longer term, value-adding change. Applies judgement effectively. Identifies and acts on market and/or competitor trends/opportunities Customer: Putting the customer at the heart of business decisions and driving to improve value for customers. Collaboration: Creates trust, respect and builds meaningful relationships. Able to handle a wide range of relational challenges to ensure collaboration across boundaries. Leading with Influence: Influences and rallies people behind common goals; actively supports growth and inspires others to exceed expectations. Communicates clear strategies and objectives for own function. Innovation: Generates creative/out of the box solutions. Challenges the status quo and/or demonstrates ability to relate to challenges from a range of diverse but relevant perspectives. Willing to take calculated risks when introducing novel ideas. Personal Mastery: Learns and actively works to build self-awareness; develop through experience and feedback from others. Copes effectively with stress and has the resilience to take on stretching and challenging assignments. Adjusts effectively to work within new work structures; processes; requirements and cultures. Executing: Displays consistent energy, drive and perseverance in order to deliver results. Demonstrates a willingness to take calculated risks to achieve stretch performance goals.  Duties:Develop information driven insights to identify trends and opportunities and provide solutions based on these insights.Manage data analysis and interpretation including modelling and simulation. Drive the advanced analytics capability within the team and company. Devise and promote creative data visualization to derive actionable intelligence. Forecast the performance of data relative to business needs. Develop recommendations based on data interpretation and analysis to transform behaviours. Develop automated tools and dashboards with IT team to provide real-time insights to business data. Design data integration from multiple systems into manageable data warehouses and analytic data models. Utilize strong research or technical skills to conduct business or industry-wide analysis of current and emerging best practices that support analytics engagement. Proactively improve analytic approaches, methodologies, data and reporting capabilities. Translate data analytics findings into actionable business insights. Critically evaluate information gathered from multiple sources and reconcile conflicts. Develop and deliver compelling presentation using data and graphics to communicate insights and implications for decision making. Provide subject matter expertise for all data related processes and analysis. Actively participate and influence continuous improvement to the organisations data warehousing and Business intelligence solutions with a motive for eliminating redundant and manual data extraction and processing. Extract meaning from complex data relationship and develop reports to enable effective use of the resulting knowledge. Develop information driven insights to identify trends and opportunities and provide solutions based on these insights.Manage data analysis and interpretation including modelling and simulation. Drive the advanced analytics capability within the team and company. Devise and promote creative data visualization to derive actionable intelligence. Forecast the performance of data relative to business needs. Develop recommendations based on data interpretation and analysis to transform behaviours. Develop automated tools and dashboards with IT team to provide real-time insights to business data. Design data integration from multiple systems into manageable data warehouses and analytic data models. Utilize strong research or technical skills to conduct business or industry-wide analysis of current and emerging best practices that support analytics engagement. Proactively improve analytic approaches, methodologies, data and reporting capabilities. Translate data analytics findings into actionable business insights. Drive change methodology and ensure implementation across all projectsWork with business to develop and implement change management strategies and plans that maximize user adoption and proficiency and minimize resistance by increasing benefit realization, value creation, ROI and the achievement of business results and outcomes. Continuous improvement to ensure effective serviceEnsure statutory and legislative knowledge is always current in order to resolve customer complaints, to advise the business on corrective solutions to mitigate risks and to improve the customer experience whilst complying with governance requirements. Ensure adherence to organisational policies, practices and procedures. Identify solutions to enhance cost effectiveness and increase operational efficiency. Service delivery to ensure customer satisfactionMaintain service, quality and desired outputs across the business process by ensuring compliance to tactical policies, procedures and standards. Establish productive operational relationships with key stakeholders in the various channels and administrative teams. Develop work routines in line with operational plans / schedules in order to manage achievement of service delivery goals. Share knowledge on, and participate in the creation of new standards, control systems and procedures to maintain service delivery. Ensure cost efficiency through financial and corporate governanceContribute to the development and implementation of fit for purpose budgets. Manage supplier relationships, and budgets associated with projects. Manage quality people practicesAlign own behaviour with the organisation culture and values. Share and transfer product, process and systems knowledge to colleagues. Collaborate and work with the HR and IT teams to deliver required service levels. Actively share information with other team members regarding successes, issues, trends and ideas.  Qualifications/ Certification:Bachelor’s/honours degree in either Mathematics/Statistics, Actuarial Science, Computer Science, or Information systems. 

PBT Group has an opportunity for a React developer to deliver an integration project where Asset Framework (AF) data will be exported into a Postgres SQL database; Power BI reports will be created from the data and Django forms will be created to capture additional attributes and make changes to current inputs.   Duties:Creation of the front-end of the OWAP application. Front-end forms and interfaces for Django application. Design, develop, and maintain front-end user interfaces using React. Write clean, reusable, and scalable code following best practices and standards. Collaborate with back-end developers to implement and integrate new features. Debug and troubleshoot issues and optimize performance. Ensure accessibility and cross-browser compatibility. Write tests and implement continuous integration/continuous delivery processes. Stay up to date with the latest developments in React and front-end technologies. Participate in code reviews, design, and architecture discussions. Contribute to team knowledge-sharing initiatives.  Experience:Contribute to team knowledge-sharing initiatives. Proficient React developer Previous experience working in a Django environment Previous experience working with Docker Postgres SQL  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent 

PBT Group has an opportunity for a Lead Data Analyst for a role in Cape Town.   Guided by the Scrum Master and Technical Lead, this role will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end users to develop differentiating business insights.   We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.   They will assist in specifying complex business rules using the specified toolsets to enable the data modelers to create complex analytical models. Hence, they need to understand and continuously seek to build knowledge of data and information.   The person fulfilling this role will not only analyse data models, but also test the outputs, investigate & troubleshoot data issues and devise solutions in line with best practice. A high competency in problem solving capabilities is thus essential. They should be able to communicate business information to technical teams, as well as be competent in communicating challenges and solutions to the team.   An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance.   You will be responsible for the end-to-end tasks within the data analysis framework working with business representatives, product owners, etc. to define and elicit requirements, analyse data and create reports/dashboards.   Duties:Data PreparationAcquire data from various data sources and combine & transform data into interpretable datasets, reports or dashboards Assess the effectiveness and accuracy of new data sources and data gathering techniques Extend the company’s data with third party sources of information when required Process, cleanse and verify the integrity of data used for analysis Perform data profiling of data contained in source systems Provide detailed analysis of all data implemented into the database Provide the data mapping and associated transformation rules for each data item Ensure that the business requirements and subsequent development activities are supported by accurate information.Analysis and VisualisationInterpret data, analyse results using analytical techniques and provide reports and/or dashboards Identify, analyse, and interpret trends or patterns in complex data sets Use data to answer key questions about the business. Own and maintain dashboards, ongoing reporting, and ad hoc requests from the organization. Support and maintain the project data models at multiple levels of detail and functionality (conceptual, logical, normalised, relational, dimensional, application level, subject-level, integrated, etc.) Assist Data Modelers to draw up detailed data models. Stakeholder EngagementWork directly with management and other business users to gather requirements, provide status updates, and build relationships Present information using data visualisation techniques Facilitate of requirements gathering workshops with the business Collaborate with internal and external stakeholders to analyse information needs, functional requirements and business processes Coaching/MentorshipProvides problem solving assistance to other team members Coach and assist junior team members  Experience:Functional experience in analytics, data visualisation or reporting 2-5 years of experience performing data analysis in a BI environment Knowledge of and experience with reporting packages Adept at queries, report writing and presenting findings for stakeholder use Experience working with data in various data sources and databases Ability to translate business requirements into non-technical terms Demonstrated experience in handling large data sets and relational databases with proven SQL skills Ability to comply to and manage data assets under strict governance framework Experience in agile development desired Business experience in financial services would be advantageous Ability to work with data profiling, data quality and reference data toolsets advantageous  It would be advantageous if the candidate had knowledge of, or experience in, the following:DataStage and or other ETL / DI tools DB2 and or other RDBS’s SQL SAP Hana (DB) SAP Data Services Cloudera / Hadoop Cloud deployments and integration (esp AWS) Some knowledge of Teradata, Attunity, Cloudera, advanced visualisation technologies and data management experience is preferred and highly advantageous Database viewing tools Scripting languages, esp Python, Java, Sparc Report generation tools  Knowledge of BI processes and methodologies such as (but not limited to):Agile development A background in SQL, application and information architecture and ETL procedures is required. Data integration Data modelling/Application modelling (Modelling in SAP HANA is preferred) Data analysis, visualization and reporting Ingestion SDLC, release management and project management API integration  Qualifications/ Certification:Diploma/Bachelor Degree (Information Systems; Statistics; Data or Computer Science; Engineering) or equivalent (preferred but not essential)

We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact. The Data Analyst will also be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end users to develop differentiating business insight. About the role"Data Preparation Analysis and Visualisation Stakeholder EngagementAbout you:Functional experience in analytics, data visualisation, or reporting 2-5 years of experience performing data analysis in a BI environment. Experience with reporting packages Demonstrated experience in handling large data sets and relational databases with proven SQL skills. Ability to comply with and manage data assets under a strict governance framework. Experience in agile development desired Ability to work with data profiling, data quality and reference data toolsets. SQL, application, and information architecture and ETL procedures Data integration Data Modelling/application development Data analysis, visualisation, and reporting

PBT Group has an opportunity for a React developer to deliver an integration project where Asset Framework (AF) data will be exported into a Postgres SQL database; Power BI reports will be created from the data and Django forms will be created to capture additional attributes and make changes to current inputs.   Duties:Creation of the front-end of the OWAP application. Front-end forms and interfaces for Django application. Design, develop, and maintain front-end user interfaces using React. Write clean, reusable, and scalable code following best practices and standards. Collaborate with back-end developers to implement and integrate new features. Debug and troubleshoot issues and optimize performance. Ensure accessibility and cross-browser compatibility. Write tests and implement continuous integration/continuous delivery processes. Stay up to date with the latest developments in React and front-end technologies. Participate in code reviews, design, and architecture discussions. Contribute to team knowledge-sharing initiatives.  Experience:Contribute to team knowledge-sharing initiatives. Proficient React developer Previous experience working in a Django environment Previous experience working with Docker Postgres SQL  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent 

I'm currently recruiting for a  Senior Data Analyst or Technical Business Analyst who possesses strong analysis skills, data ETL expertise, and is independent and quick to start up. T About the role:Responsible for mapping all legacy platform sub-programs and related datasets required. Review existing tables and identify redundancies, as well as account for non-standard functions built into legacy platforms that will be replicated  Design and testing of the User Interface created to replace mainframe functionality. Part of the formation and refinement of the backlogs process.If you have the required experience and skills and are looking to join a dynamic team in a fast-paced industry, we encourage you to apply.  

PBT Group has an opportunity for a Lead Business Analyst with an affinity for data, working with complex data sets, and dashboarding. Your role is to perform all the normal BA functions, however, your key attributes should be problem-solving as well as being able to define and enable business change in an agile environment. About youRelevant formal qualification in Business Analysis Experience in the Financial Services industry Experience working on large transformation programs Knowledge of investigation, analysis and finalisation of complex reporting requirements Experience in supporting the implementation and operationalisation of reporting capabilities Building relationships with all key stakeholders that include business owners, product owners, development teams, trainers, and users Business process modeling and improving business processes across various business units, processes, and systems Implementing, testing, and deploying solutions to business problems Transformation programs Migration experience Platform experience Jira Atlassian/ Confluence SQL Skills essential to this role

PBT Group has an opportunity for a Business Process Analyst with a specific focus on the design, analysis, documentation of supporting processes and process requirements Your role is to perform all the normal BA functions, however, your key attributes should be problem-solving as well as being able to define and enable business change in an agile environment. About you:Relevant qualification in Business Analysis 5 years working experience in the Financial Services industry (required) Experience as a seasoned Process Analyst working on large transformation programmes  Experience in design, analysis, documentation of supporting processes and process requirements spanning both business and technology  Experience working in an Agile team Excellent documentation and diagramming skillIf you're interested in joining our team, please share an updated copy of your CV.  

PBT Group has an opportunity for Data Modellers to design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.   Duties:Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables. Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts. Translate business requirements into data requirements. Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data. Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation. Compile Source to Target Mapping Specifications Ensure complete and correct data by identifying definitive or authoritative source of data; analysing source data; and identifying gaps Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model. Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces. Reduce non-value adding work by identifying opportunity for re-use of the Enterprise Data Model Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.  Skills Required:   Data Management Domain Knowledge:Data Modelling Concepts: Erwin & SAP Sybase Power Designer Canonical Data Modelling Entity Relationship Modelling Physical Database Design Configuration Management Data Flow Management Data warehousing, Data Integration, Data Mining Data Quality Master Data Management Metadata  Tools- Technical Skills:IBM Infosphere Information Governance Catalog - Building the Governance Catalog IBM Information Analyzer Essentials v IBM InfoSphere DataStage Essentials IBM InfoSphere Advanced DataStage - Parallel Framework IBM InfoSphere DataStage v - Advanced Data Processing IBM InfoSphere QualityStage Essentials v IBM InfoSphere Advanced QualityStage v Collibra Talend Metadex -(SSIS) Linux SQL  Skill package will include knowledge in:APIs, PERL, Python, SQL, XML, Java, C/C++ and others.  Understanding of at least some of the newest trends in the DBMS debate like:NoSQL platforms such as Cassandra, MongoDB, Couchbase, Riak, Redis, FlockDB, Stig  Cloud Knowledge:AWS, Azure, IBM etc.  Experience Required:3-5 years and/or relevant industry experience as well as experience in the Data Modelling discipline Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling also an advantage Experience using Infosphere Data Architect or any other Data Modelling Tool Experience with industry models such as IFW BDW and FSDM Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture Relevant regulatory knowledge, and understanding of banking and financial services  Technical Competencies:Data analysis: Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components. Data Modelling: Specialist knowledge of database concepts, object and data modelling techniques and design principles.  Behavioural Competencies:Exercises substantial personal responsibility and autonomy. Plans own work to meet given objectives and processes in an efficient manner. Plans, schedules and monitors work to meet time and quality targets. Work includes a broad range of complex technical or professional activities, in a variety of contexts. Investigates, defines and resolves complex issues. Accomplishing tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time. Makes decisions which influence the success of projects and team objectives. Selects appropriately from applicable standards, methods, tools and applications. Communicates fluently, orally and in writing, and can present complex information to both technical and non-technical audience. Facilitates collaboration between stakeholders who share common objectives. Setting high goals for personal and group accomplishment; using measurement methods to monitor progress toward goals; tenaciously working to meet or exceed goals while deriving satisfaction from that achievement and continuous improvement. Participates in external activities related to data modelling Takes responsibility for driving own development by actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities. Rapidly absorbs new information and applies it effectively.  Qualifications/ Certification:A degree/diploma in Computer Science / Information Systems / Business Administration / Commerce or equivalent Preferred Qualifications: TOGAF   

PBT Group has an opportunity for an experienced Data Governance Analyst.   The Data Governance Analyst will monitor and enhance enterprise data governance activities including monitoring the quality and managing the protection of sensitive data and information assets.   The position will focus on ensuring adherence to the data policies, standards and processes, by all squads in the bank, to achieve the required level of consistency, quality and protection to meet overall business needs. The Data Governance Analyst will work closely with Business squad leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the squads.   The analyst will also establish and enhance Data Policies, Standards and Processes and assist the Squads in adhering to the established standards and process. These standards will ensure the democratisation of all data assets in the bank and provide a well-documented, discoverable register of all data and related business meaning. This will also enable the meeting of regulatory requirements by ensuring all data in the bank is owned, managed, curated and documented. Driving Data Quality improvements and further ensuring trust is built in all data assets in the bank.   Duties:  Operational DeliveryExecute data governance strategy and overall objectives set by the relevant data governance forums Align data governance with the business goals and priorities Provide performance related reports and build consensus for the data governance strategy across the bank Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities in line with the bank’s information management strategy and principles Roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture Eliminates redundancy and streamlines the external data sources. Identify the new business opportunities with the use of data assets to achieve efficiency and represent the data as the business asset. Coordinate regarding the implementation of Data Governance Strategy across operational units Collaborate with leadership across the organisation to identify business needs and implement data governance processes Responsible for development and maintenance of standard data operating procedures Ensuring adherence to an enterprise data governance framework for data practices, policies, and standards both at a technical and functional level. Focus on minimizing the risk of regulatory fines. Defines the roles and responsibilities related to Data Governance and ensures accountability for the stewardship and master data assets of the enterprise. Should serve as a liaison between business and its functional as well as technical areas of the technology and protect the sensitive and confidential data. Eliminates redundancy and streamlines the external data sources. Identify the new business opportunities with the use of data assets to achieve efficiency and represent the data as the business asset. Coordinate regarding the implementation of Data Governance Strategy across operational units ComplianceEnsure effective internal controls by monitoring metrics and driving performance through improvement initiatives Champion enterprise data governance and data initiatives Ensure appropriate representation and participation in data governance forums across the business Lead and guide the data governance organisation to achieve desired business results Deliver on data governance strategy and overall objectives Ensure data governance initiatives result in enterprise and functional benefits Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements Provide progress reports on data governance issues and oversee periodic updates to Data Governance Roadmap Delivery ManagementEnsures the Data is manageable and provides more support to accelerate data-driven digital transformation. Assist with the assignments of the roles and responsibilities to the Data Users, Data Owners, and Data Stewards Assist business with identifying data Quality requirements and implement monitoring and remediation processes Develop & Maintain inventory of the enterprise data. Facilitate the development and implementation of Data Protection, Data quality standards across the enterprise. To assist in resolving end-to-end issues regarding Data Governance that may arise from different departments in the Enterprise. Technical LeadershipProject Management Risk Management Data Governance Business Analysis Techniques Master Data Management  Experience:A minimum of 4 -6 years of strong data governance industry focussing on:Operationalizing data governance and data Quality Implementing data management and governance roles, principles, processes and procedures Implementing enterprise level data quality, master data management and related metrics Conducting customer interviews and strong consumer interaction skillsBachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc. or a minimum of 4 - 6 years of strategic analysis, or data governance experience Data Governance certification(s) would be advantageous  Qualifications/ Certification:Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc. or a minimum of 4 - 6 years of strategic analysis, or data governance experience Data Governance certification(s) would be advantageous

PBT Group has an opportunity for an experienced Data Governance Analyst.   The Data Governance Analyst will monitor and enhance enterprise data governance activities including monitoring the quality and managing the protection of sensitive data and information assets.   The position will focus on ensuring adherence to the data policies, standards and processes, by all squads in the bank, to achieve the required level of consistency, quality and protection to meet overall business needs. The Data Governance Analyst will work closely with Business squad leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the squads.   The analyst will also establish and enhance Data Policies, Standards and Processes and assist the Squads in adhering to the established standards and process. These standards will ensure the democratisation of all data assets in the bank and provide a well-documented, discoverable register of all data and related business meaning. This will also enable the meeting of regulatory requirements by ensuring all data in the bank is owned, managed, curated and documented. Driving Data Quality improvements and further ensuring trust is built in all data assets in the bank.   Duties:  Operational DeliveryExecute data governance strategy and overall objectives set by the relevant data governance forums Align data governance with the business goals and priorities Provide performance related reports and build consensus for the data governance strategy across the bank Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities in line with the bank’s information management strategy and principles Roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture Eliminates redundancy and streamlines the external data sources. Identify the new business opportunities with the use of data assets to achieve efficiency and represent the data as the business asset. Coordinate regarding the implementation of Data Governance Strategy across operational units Collaborate with leadership across the organisation to identify business needs and implement data governance processes Responsible for development and maintenance of standard data operating procedures Ensuring adherence to an enterprise data governance framework for data practices, policies, and standards both at a technical and functional level. Focus on minimizing the risk of regulatory fines. Defines the roles and responsibilities related to Data Governance and ensures accountability for the stewardship and master data assets of the enterprise. Should serve as a liaison between business and its functional as well as technical areas of the technology and protect the sensitive and confidential data. Eliminates redundancy and streamlines the external data sources. Identify the new business opportunities with the use of data assets to achieve efficiency and represent the data as the business asset. Coordinate regarding the implementation of Data Governance Strategy across operational units ComplianceEnsure effective internal controls by monitoring metrics and driving performance through improvement initiatives Champion enterprise data governance and data initiatives Ensure appropriate representation and participation in data governance forums across the business Lead and guide the data governance organisation to achieve desired business results Deliver on data governance strategy and overall objectives Ensure data governance initiatives result in enterprise and functional benefits Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood and considered as part of operational prioritization and planning Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements Provide progress reports on data governance issues and oversee periodic updates to Data Governance Roadmap Delivery ManagementEnsures the Data is manageable and provides more support to accelerate data-driven digital transformation. Assist with the assignments of the roles and responsibilities to the Data Users, Data Owners, and Data Stewards Assist business with identifying data Quality requirements and implement monitoring and remediation processes Develop & Maintain inventory of the enterprise data. Facilitate the development and implementation of Data Protection, Data quality standards across the enterprise. To assist in resolving end-to-end issues regarding Data Governance that may arise from different departments in the Enterprise. Technical LeadershipProject Management Risk Management Data Governance Business Analysis Techniques Master Data Management  Experience:A minimum of 4 -6 years of strong data governance industry focussing on:Operationalizing data governance and data Quality Implementing data management and governance roles, principles, processes and procedures Implementing enterprise level data quality, master data management and related metrics Conducting customer interviews and strong consumer interaction skillsBachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc. or a minimum of 4 - 6 years of strategic analysis, or data governance experience Data Governance certification(s) would be advantageous  Qualifications/ Certification:Bachelor’s Degree in Computer Science or similar fields like Information Systems, Big Data, etc. or a minimum of 4 - 6 years of strategic analysis, or data governance experience Data Governance certification(s) would be advantageous

PBT Group has an opportunity for an Intermediate Data Engineer. The Data Engineer must have experience in migrating legacy to AWS Lambda.   Duties:Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets. Design, implement and support the creation and maintenance of data pipelines from a multitude of sources. Ingest large, complex data sets that meet functional and non-functional requirements. Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions. Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data. Supports the organisation’s cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices. Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications. Development of API’s for returning data to Enterprise Applications. Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies. Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems.Provide support in the operational environment with all relevant support teams for data services. Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs. Support, test and deployment of new services and features. Design and Implement actionable Alerts, Monitoring and Observability using various toolsets that support our resilience including DR activities Design and build Data validation and reconciliation alerts from source  Required Skills:Strong modular system design skills. Conventional and data warehouse modeling skills are required, in order to understand the various data models and to define the mappings between them. System analysis and design skills are necessary to design and document the data extractions and transformations. Expert knowledge of the capabilities of the ETL tools being used, to know what their capabilities and shortcomings are – in order to exploit or avoid those aspects in the ETL program designs. Good organisation, planning and basic management skills. Good interpersonal and communication skills. Decision making and problem solving skills.  Required Qualifications / Training:Relevant data warehouse and BI solution training is essential. B.Sc. or related degree is advantageous. 

PBT Group has an opportunity for Data Modellers to design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.   Duties:Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables. Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts. Translate business requirements into data requirements. Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data. Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation. Compile Source to Target Mapping Specifications Ensure complete and correct data by identifying definitive or authoritative source of data; analysing source data; and identifying gaps Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model. Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces. Reduce non-value adding work by identifying opportunity for re-use of the Enterprise Data Model Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.  Skills Required:   Data Management Domain Knowledge:Data Modelling Concepts: Erwin & SAP Sybase Power Designer Canonical Data Modelling Entity Relationship Modelling Physical Database Design Configuration Management Data Flow Management Data warehousing, Data Integration, Data Mining Data Quality Master Data Management Metadata  Tools- Technical Skills:IBM Infosphere Information Governance Catalog - Building the Governance Catalog IBM Information Analyzer Essentials v IBM InfoSphere DataStage Essentials IBM InfoSphere Advanced DataStage - Parallel Framework IBM InfoSphere DataStage v - Advanced Data Processing IBM InfoSphere QualityStage Essentials v IBM InfoSphere Advanced QualityStage v Collibra Talend Metadex -(SSIS) Linux SQL  Skill package will include knowledge in:APIs, PERL, Python, SQL, XML, Java, C/C++ and others.  Understanding of at least some of the newest trends in the DBMS debate like:NoSQL platforms such as Cassandra, MongoDB, Couchbase, Riak, Redis, FlockDB, Stig  Cloud Knowledge:AWS, Azure, IBM etc.  Experience Required:3-5 years and/or relevant industry experience as well as experience in the Data Modelling discipline Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling also an advantage Experience using Infosphere Data Architect or any other Data Modelling Tool Experience with industry models such as IFW BDW and FSDM Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture Relevant regulatory knowledge, and understanding of banking and financial services  Technical Competencies:Data analysis: Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components. Data Modelling: Specialist knowledge of database concepts, object and data modelling techniques and design principles.  Behavioural Competencies:Exercises substantial personal responsibility and autonomy. Plans own work to meet given objectives and processes in an efficient manner. Plans, schedules and monitors work to meet time and quality targets. Work includes a broad range of complex technical or professional activities, in a variety of contexts. Investigates, defines and resolves complex issues. Accomplishing tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time. Makes decisions which influence the success of projects and team objectives. Selects appropriately from applicable standards, methods, tools and applications. Communicates fluently, orally and in writing, and can present complex information to both technical and non-technical audience. Facilitates collaboration between stakeholders who share common objectives. Setting high goals for personal and group accomplishment; using measurement methods to monitor progress toward goals; tenaciously working to meet or exceed goals while deriving satisfaction from that achievement and continuous improvement. Participates in external activities related to data modelling Takes responsibility for driving own development by actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities. Rapidly absorbs new information and applies it effectively.  Qualifications/ Certification:A degree/diploma in Computer Science / Information Systems / Business Administration / Commerce or equivalent Preferred Qualifications: TOGAF   

To complement the existing cross-functional team, PBT Group is looking for a Senior Data Engineer who will design and implement scalable and robust processes to support the data engineering capability. This role will be responsible for implementing and supporting large-scale data ecosystems across the Group. This thought leader will use best practices in cloud engineering, data management and data storage to continue our drive to optimize the way that data is stored, consumed and ultimately democratized. The incumbent will also collaborate with stakeholders across the organisation with use of the Data Engineering practices to facilitate the improvement in the way that data is stored and consumed.  Assist in designing and implementing scalable and robust processes for ingesting and transforming complex datasets. Designs, develops, constructs, maintains and supports data pipelines for ETL from a multitude of sources. Creates blueprints for data management systems to centralize, protect, and maintain data   Focused on data stewardship and curation, the data engineer enables the data scientist to run their models and analyses to achieve the desired business outcomes Ingest large, complex data sets that meet functional and non-functional requirements. Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions. Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data. Supports the organisation’s cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices. Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications. Development of API’s for returning data to Enterprise Applications. Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies. Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems. Provide support in the operational environment with all relevant support teams for data services. Provide input into the management of demand across the various data streams and use cases. Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs. Support test and deployment of new services and features. Provides technical leadership to junior data engineers in the team    ROLE & QUALIFICATIONS REQUIREMENTSMatric, with a degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering. 3+ years of data engineering experience 3+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including , but not limited to , any of the following combinations: (1) SSIS and SSRS, (2) ETL Frameworks, (3) Data conformance, (4) Caching, (5) Spark (6) AWS data builds The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM, DynamoDB and DB2) will also be beneficial. Should be at least at a proficient level in at least one of Python, Java, C/C++ or similar Should be Proficient in bash/ksh, perl, SQL Some experience with R, AWS, XML, json, cron will be beneficial Experience with designing and implementing Cloud (AWS) solutions including use of APIs available. Some experience with Dev/OPS architecture, implementation and operation would be advantageous. Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data. Some experience in applying SAFe/Scrum/Kanban methodologies. Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process reengineering. Good problem solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution Good programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as python, scala, java and suite of Microsoft languages C# and F# preferable.  COMPETENCIES:Collaboration and precise communication Establishing and maintaining strong working relationships with stakeholders across all levels Strategic thinking Leading with Influence Innovating and being curious about technology Quality in execution and outcomes Customer First attitude Personal Mastery (Learning) Problem Solving Data Management Working with ambiguity Working independently and within a team

An opportunity exists for an Oracle ETL / Data warehousing developer, responsible for ongoing design, delivery and maintenance of the Client Enterprise Data Warehouse.   Candidates must have a thorough knowledge of the full data warehouse lifecycle and strong ETL skills. The successful applicant will possess a combination of strong data warehousing development skills.   SKILLS REQUIRED:   - Data Analysis and Data mapping experience - Understanding of data warehouse architectures and environments - Understanding of complex data structures/ data models and data modelling tools - Understanding of data quality issues and design of data cleansing processes - Experience of tuning and optimizing ETL processes - Excellent SQL, PL/SQL and ETL skills - Understanding of Oracle warehousing technology - Ability to work in a team environment - Logical thinker with problem solving skills - Thoroughness and attention to detail - Delivery focused - Positive attitude.

PBT Group has an opportunity for a Software / QA Tester in Cape Town.   Duties:Participate in functional and technical design sessions Quality assurance of business and functional requirements specifications Extract test requirements Identify test scenarios Design test cases Design test cases making use of the following techniques: boundary analysis, Decision tables and path analysis Design test cases for automation Adhere to version control system Conducting review session of test requirements, test scenario’s and test cases Create and maintain test data Adhere to the test data management process Identify test cases for automation Execute test cases in accordance with test plans Log defects Analyse defects Adhere to the defect management process Quality assurance of training material or Associated documentation Assistance with user acceptance testing Assistance with user education for client releases Assistance with user support for client releases Liaison with project team members Functional, integration, useability, configuration and installation testing Provide efficient reporting/feedback Maintain relationships with developers, business analysts and system analysts Any other duties not mentioned but falls under the duties of a test consultant Familiarise and learn more about client business knowledge on the site SDLC processes: Review and provide input of improvements across the SDLC processes, from prioritization sessions, Jira board management, requirement gathering, testing, UAT sign off, dev ops and deployment to production Documentation: Ensure current processes and workaround are documented and versioned on the wiki and Jira repository. Ensure change management process is followed when releasing solutions to production environment  Experience:Solid Software Testing experience  Qualifications/ certification:Degree in computer science / information systems / business administration / commerce or equivalent

PBT Group has an opportunity for an AWS Data Engineer with DevOps.   Data Engineers are responsible for building and maintaining Big Data Pipelines using Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line with the information classification requirements on a need-to-know basis.   Hybrid with 5+ years’ experience in Software Development, DevOps; 3+ years design and implementation of highly available, enterprise-scale Cloud infrastructure; 2+ years in AWS. Experienced with introducing Cloud technology (start-up) in an environment – processes, principles etc. Design and hands on troubleshooting background on AWS Platform (Azure or GCP will be advantageous). Experience working in a DevOps environment and developing and supporting infrastructure and Cloud capabilities for micro services-based architectures. Experience working with CI/CD tools is required.   Experience:5+ years’ experience in Data Engineering, Software Development, DevOps 2+ years in AWS with good experience/understanding of AWS Components (Glue, CloudWatch, SNS, Athena, S3) Developing and delivering systems on AWS Platforms (Azure or GCP will be advantageous). Experienced with introducing Cloud technology (start-up) in an environment – processes, principles etc. Design and hands on troubleshooting background on AWS Platform (Azure or GCP will be advantageous). Experience working in a DevOps environment. Experience in engineering data pipelines using Big Data technologies such as Spark, Kafka, Hadoop, Storm, etc. Experience with Docker and Kubernetes. Experience working in a fast paced Agile/Scrum environment (Atlassian Stack). Supporting and enhancing build and release processes through automation using a combination of processes and existing tools. Understanding of Cloud Security technologies and best practices. Understanding of Networking in Cloud environments. Understanding of modern software engineering patterns, including those used in highly scalable, distributed, and resilient systems. Ability to deliver long-term, repeatable IaC solutions that incorporate directly into an overall CI/CD process. Knowledge of JSON templates, PowerShell, CLI’s, Shell, Python.  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent Certificate in Technology, Cloud certification, AWS Associate, Terraform Associate, or similar

PBT Group has an opportunity for a skilled Data Analyst.   Duties:Data PreparationUse automated tools to extract data from primary and secondary sources. Analyse, develop and reorganise data into a readable format to extract meaning. Design and maintain data systems and databases.Quality AssurancePerform quality assurance and testing of data sets and solutions before deployment. Guide and support the business in performing user acceptance testing.Collaborating with other teamsCollaborate with programmers, engineers, and organisational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Data ProtectionConform to data protection and privacy standards and policies.Preparing ReportsUtilise statistical tools to identify, analyse, and interpret patterns and trends in complex data sets. Strong mathematical skills to help collect, measure, organise and analyse data. Prepare reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.TroubleshootingFix coding errors and other data-related problems.  Experience:Knowledge of programming languages such as SQL, Oracle, and Python. Technical proficiency in database design development, data models, techniques for data mining, and segmentation. Experience in handling reporting packages, Business Objects, programming such as (JavaScript, XML, or ETL frameworks), and databases. Advanced MS Excel data analysis proficiency. Adept at using data processing platforms such as AWS, Hadoop, and Apache Spark. Knowledge of data visualisation software Tableau, QlikView, Denodo, and PowerBI.  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent

PBT Group has an opportunity for a Business Intelligence Business Analyst (BIBA). A BI Business Analyst or BIBA has a crucially important role to play, in bridging any gaps between business and IT, to understand how data-driven changes to process, products, services, software and hardware can improve efficiencies and add value for clients.   The Business Intelligence Business Analyst (BIBA) primarily serves as liaison between the end users and BI project team and gathers business requirements. The BIBA is an expert in understanding business objectives, questions, and problems, and at obtaining and presenting data to address the issues. The analyst understands the tools and techniques used to create data results that range from basic queries through multidimensional analyses and data mining, forming new relations and derivations as necessary, and extracting the maximum amount of valid information content from the data. Extensive insight into the business and the data are essential.   The BIBA participates in design of data marts to provide the optimal balance of data availability, format, flexibility, and performance. The BIBA is involved in the end-to-end Data Product Lifecyle, including requirement definition, data analysis, data modelling.   Duties:   1. Requirement’s definition phase:Interview end users to determine requirements for data, reports, analyses, metadata, training, service levels, data quality, and performance Help identify and assess potential data sources Validate that BI meets requirements and service level agreements Coordinate prototype reviews Gather prototype feedback Document requirements in relevant formats:Data Warehouse content requirements Data Mart requirements Information output requirements Information exploitation tool – functional requirements2. Data Profiling, Feasibility and Scope Definition Phase:Analyse business information requirements Recommend appropriate scope of requirements and priorities Work with production data to validate business requirements Map business needs/requirements to subject area model and to logical enterprise model Discover dimension hierarchies Validate hierarchies with production data Define business rules for state detection3. Design Phase:Work with architects to translate requirements into technical specifications Discover business transformation rules Work with production data to design access structures Classify business users by type Develop security rules/standards Create state transformation models4. Development Phase:On-hand support to development team to accurately interpret requirements and translate into a quality solution.5. Testing Phase:Plan acceptance test (functional and data integrity) Execute acceptance test plan internally Facilitate user acceptance testing6. Change Management and Deployment:Educate users on warehousing capabilities Design training infrastructure Define and get agreement with business users on service-level agreements Develop training materials Write users' guide Train BI users Assist with definition of support plan Interface with process teams regarding business process reengineering Assist users in finding the right information  Skills and Experience Required: At least 3 / 5 years’ experience with a proven track record of delivering Data & Analytics projects through facilitating the Data/Analytics Development Lifecycle.   1. General BA competenciesBusiness analysis planning and monitoring Requirement’s elicitation Requirements management and communication Business architecture analysis Requirement’s analysis Solution assessment and validation2. BA tools and techniquesAcceptance and Evaluation Criteria Definition Benchmarking Brainstorming Business Rules Analysis Data Dictionary and Glossary Data Flow Diagrams Data Modeling Decision Analysis Document Analysis Focus Groups Interviews Metrics and Key Performance Indicators Non-functional Requirements Analysis Observation Organization Modeling Problem Tracking Process Modeling Prototyping Requirements Workshops Risk Analysis Scenarios and Use Cases Structured Walkthrough3. Personal skills:Strong communication skills. Good writing skills. Must be able to pay attention to detail. Work independently. Must be a team player. Work on more than one project at a time. Strong leadership and people skills (will be required to work closely with all Data & Analytics Guilds and with business users)4. BI Project related skills:Apply BIBA methodology in agile environments Strong SQL skills Some systems analysis (source-to-target mappings, data profiling) Deep knowledge of modern data platformsGood general understanding of the relevant industry. Substantial business analysis experience in a BI environment. A good understanding of business processes. Ability to assimilate and apply relevant business principles. Be able to work within the framework of project methodologies and work independently on support and maintenance tasks.  Required Qualifications/ Certification:Ideally candidates should have an IT or business-related qualification. FTI or similar BA qualification will be advantageous.

PBT Group has an opportunity for an Angular & Java UI Developer to lead Business Technology in the business Unit/Functional Area with the purpose of supporting and enabling the realisation of business strategies and objectives.   The Developer will develop, codify and document application and software integration solutions that are bespoke, innovative and sustainable for the fulfilment of business stated requirements.   Experience:4+ years of relevant experience In depth understanding and application of:MS SQL, Sybase Java development TIBCO integration Working in an Agile environment Understanding and experience in Agile methodologiesExtensive demonstrable experience within Global Markets and/or Investment Banking delivering tangible results in a digital environment Control-M or similar scheduling systems Engage and persuade multiple and complex stakeholdersVery strong UI development skills Solid experience in the following technologies:Angular (2+) Bootstrap NodeJS  Experience in the below will be advantageous for the candidate:Good understanding of SOA and MicroServices UX design Java Hibernate Nexus Teamcity Maven Understand8ing of Spring boot an advantage Understanding of Micro Frontends an advantage  Qualifications/ Certification:A degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent  Duties:Engage with the macro-environment to look for new opportunities, capabilities and trends that would add value to the required development work Suggest changes in executing work processes to better drive value and benefits for the business Prepare and share recommendations for process and systems improvements in relevant area of accountability Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment (current and planned) Partner with BT and Business stakeholders to develop solutions that align with RMB Architecture minimum standards Consolidate and prepare solution design documentation in consultation with assigned Solution Architect(s) Apply standards and governance in such a way as to develop the best fit solution for business aligned to the Information Services framework Coordinate and apply various coding efforts Monitor and report on progress regularly for tracking implementation efforts Address and develop solutions to problems and risks arising from coding efforts Maintain code repositories and align with internal system change approval procedures Comply, understand and implement all steps within IT development and meet governance in terms of legislative and audit requirements during programming execution Collaborate with relevant stakeholders to ensure programs and build is completed in time and within budget Design relevant test scripts/ test cases to best determine system readiness and usability Interface with platform test analysts to facilitate functional and regression testing Provide implementation and second tier support as required Translate functional specifications into technical designs for implementation and deployment Develop and produce related documentation that is both complete and concise on solutions implemented 

PBT Group has an opportunity for Data Modellers to design and maintain optimal data models/structures at both an enterprise and system / application level that meet the business and architectural objectives of the organisation.   Duties:Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project plan and budget to meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the development methodology and to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables. Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage best practice and fast track data modelling efforts. Translate business requirements into data requirements. Analyse and profile the source data to understand data quality issues, relationships, patterns and rules in the data. Structure data requirements into logical data constructs based on the Enterprise Data Model, including ERD models, dimensional models to ensure optimal implementation. Compile Source to Target Mapping Specifications Ensure complete and correct data by identifying definitive or authoritative source of data; analysing source data; and identifying gaps Enable physical implementation of the data structure by generating the first cut physical data model from the logical data model. Facilitate dataflow understanding by collating dataflow diagrams outlining the flow of data across systems and interfaces. Reduce non-value adding work by identifying opportunity for re-use of the Enterprise Data Model Maintain up to date knowledge of latest developments in the Data Modelling domain, including reading; continuous professional development courses; seminars and conferences.  Skills Required:   Data Management Domain Knowledge:Data Modelling Concepts: Erwin & SAP Sybase Power Designer Canonical Data Modelling Entity Relationship Modelling Physical Database Design Configuration Management Data Flow Management Data warehousing, Data Integration, Data Mining Data Quality Master Data Management Metadata  Tools- Technical Skills:IBM Infosphere Information Governance Catalog - Building the Governance Catalog IBM Information Analyzer Essentials v IBM InfoSphere DataStage Essentials IBM InfoSphere Advanced DataStage - Parallel Framework IBM InfoSphere DataStage v - Advanced Data Processing IBM InfoSphere QualityStage Essentials v IBM InfoSphere Advanced QualityStage v Collibra Talend Metadex -(SSIS) Linux SQL  Skill package will include knowledge in:APIs, PERL, Python, SQL, XML, Java, C/C++ and others.  Understanding of at least some of the newest trends in the DBMS debate like:NoSQL platforms such as Cassandra, MongoDB, Couchbase, Riak, Redis, FlockDB, Stig  Cloud Knowledge:AWS, Azure, IBM etc.  Experience Required:3-5 years and/or relevant industry experience as well as experience in the Data Modelling discipline Able to demonstrate practical experience in relational and dimensional modelling techniques, OO modelling also an advantage Experience using Infosphere Data Architect or any other Data Modelling Tool Experience with industry models such as IFW BDW and FSDM Broad understanding of Data Management (DMBOK), systems development lifecycle methodologies and IT Architecture Relevant regulatory knowledge, and understanding of banking and financial services  Technical Competencies:Data analysis: Applies data analysis, data modelling, and quality assurance techniques, based upon a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions). Advises database designers and other application development team members on the details of data structures and associated components. Data Modelling: Specialist knowledge of database concepts, object and data modelling techniques and design principles.  Behavioural Competencies:Exercises substantial personal responsibility and autonomy. Plans own work to meet given objectives and processes in an efficient manner. Plans, schedules and monitors work to meet time and quality targets. Work includes a broad range of complex technical or professional activities, in a variety of contexts. Investigates, defines and resolves complex issues. Accomplishing tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time. Makes decisions which influence the success of projects and team objectives. Selects appropriately from applicable standards, methods, tools and applications. Communicates fluently, orally and in writing, and can present complex information to both technical and non-technical audience. Facilitates collaboration between stakeholders who share common objectives. Setting high goals for personal and group accomplishment; using measurement methods to monitor progress toward goals; tenaciously working to meet or exceed goals while deriving satisfaction from that achievement and continuous improvement. Participates in external activities related to data modelling Takes responsibility for driving own development by actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities. Rapidly absorbs new information and applies it effectively.  Qualifications/ Certification:A degree/diploma in Computer Science / Information Systems / Business Administration / Commerce or equivalent Preferred Qualifications: TOGAF   

PBT Group is looking for a talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end-users to develop differentiating business insights.   We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact. About the role:Data Preparation Analysis and Visualisation Stakeholder Engagement Data IntegrationAbout you:Functional experience in analytics, data visualisation or reporting 2-5 years of experience performing data analysis in a BI environment. Experience with reporting packages Demonstrated experience in handling large data sets and relational databases with proven SQL skills. Ability to comply with and manage data assets under a strict governance framework. Experience in agile development desired Ability to work with data profiling, data quality and reference data toolsets. Knowledge of the following BI processes and methodologies: SQL, application, information architecture and ETL procedures Data integration 

PBT Group is looking for a talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across the business into formats that can be used by end-users to develop differentiating business insights.   We are looking for an individual with experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact. About the role:Data Preparation Analysis and Visualisation Stakeholder Engagement Data IntegrationAbout you:Functional experience in analytics, data visualisation or reporting 2-5 years of experience performing data analysis in a BI environment. Experience with reporting packages Demonstrated experience in handling large data sets and relational databases with proven SQL skills. Ability to comply with and manage data assets under a strict governance framework. Experience in agile development desired Ability to work with data profiling, data quality and reference data toolsets. Knowledge of the following BI processes and methodologies: SQL, application, information architecture and ETL procedures Data integration 

PBT Group has an opportunity for a Project Manager in the Banking / Financial Services Industry.   The project manager is responsible for the direction, coordination, implementation, executive, control and completion of the project while remaining aligned with the strategy, commitments and goals of the organization.   Project management responsibilities include the coordination and completion of projects on time within budget and within scope following the Minimum Standards Framework. Oversee all aspects of projects. Set deadlines, assign responsibilities, and monitor and summarize progress of project. Prepare reports for upper management regarding status of project.   The successful candidate will work directly with clients to ensure deliverables fall within the applicable scope and budget. He or she will coordinate with other departments to ensure all aspects of each project are compatible.   May need to rely on limited experience and judgment to plan and accomplish goals. Perform a variety of tasks. Lead and direct the work of other team members. A wide degree of creativity and latitude is expected. Reports to head of PMO.   Duties:Coordinate internal resources and third parties/vendors for the flawless execution of multiple projects Ensure that all projects are delivered on-time, within scope and within budget Assist in the definition of project scope and objectives, involving all relevant internal stakeholders and ensuring technical feasibility Ensure resource availability and allocation Develop a detailed project plan to monitor and track progress Manage changes to the project scope, project schedule, and project costs using appropriate verification techniques Measure performance using appropriate project management tools and techniques Report and escalate to management as needed Manage the relationship with the client and relevant stakeholders Perform risk management to minimize potential risks Establish and maintain relationships with stakeholders Create and maintain comprehensive project documentation Meet with clients to take detailed ordering briefs and clarify specific requirements of each project Track project performance, specifically to analyse the successful completion of short and long-term goals Meet budgetary objectives and make adjustments to project constraints based on financial analysis Develop comprehensive project plans to be shared with clients as well as other staff members Perform other related duties as assigned Develop spreadsheets, diagrams and process maps to document needs  Project manager requirements:10+ years proven working experience in Project Management Financials Services Asset Management experience within Corporate and Investment Banking is required 5 years investment banking experience in implementing Business Technology solutions Fully comfortable with Agile delivery methodology and ceremonies (Scrum or SAFe) Ability to manage a number of dependencies outside their project Must be a strong project manager focused on driving delivery (i.e. willing to get their hands dirty to land the project), not just pushing Admin. This person will also be interacting regularly with one of our strong Exco members, so they must be able to stand their ground but also come across as professional with a high-quality output. Excellent client-facing and internal communication skills Excellent written and verbal communication skills Solid organizational skills including attention to detail and multitasking skills Strong working knowledge of Microsoft Office Project Management Professional (PMP) / PRINCE II / CAPM certification is a plus Bachelor's Degree in appropriate field of study or equivalent work experience Experience with project management software tools and in particular Jira & Confluence  Project Manager skills & proficiencies:Excellent communication skills Problem-solving and leadership skills Project planning, risk management, time management and other project management skills Experience in strategic planning, risk management and/or change management Proficiency in project management software tools Conflict resolution experience  Qualifications/ Certification:Must have a degree in Computer Science / Information Systems / Business Administration / Commerce or equivalent Project Management Certification )( Project Management Professional (PMP) / PRINCE II / CAPM certification) Agile Project Management Certification

PBT Group has an opportunity for a BI Data Engineer Specialist to interpret requirements provided by business and produce effective data engineering solutions. Develop information solutions from a variety of sources for both structured and unstructured data. Productionisation of machine learning models. Provide ongoing support and maintenance of ETL solutions.   Duties:Design and implement ETL/ELT methodologies and technologies Maintenance and support of ETL and ML environments Conduct root cause analysis on production issues Technical leadership of entire information management process of both structured and unstructured data Optimization of the solutions Implementing machine learning feature set pipelines in production through integration Integrate with statistical and actuarial analysts to build models Producing relevant technical documentation and specifications Estimate time and resource requirements for business requirement Optimization of machine learning models produced by Data Scientists.  Experience:ETL development using SSIS (Advanced) SQL (Advanced) .net Programming (Intermediate) Performance & optimization (Intermediate) Data Warehouse principles and practices (Intermediate) Kimball Methodology (Intermediate) Git versioning (Basic) Python/R Programming (Basic) Systems Development Life Cycle (SDLC) (Intermediate) Data Security and Protection Policies (Intermediate) MS Excel (Basic) Container setup and understanding - Docker (Advantageous) Distributed programming skills on a cluster environment (Advantageous)  Qualifications/ Certification:Matric (Essential) National Diploma in IT (BTech) or appropriate certification (Essential) Bachelor of Science (Information Systems, Computer Science, Mathematics) Advantageous