Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
stakeholders to shape data architecture and requirements collaboratively Craft data models and schemas tailored appropriate data storage solutions, including relational databases, data warehouses, data lakes, and MS Lead the implementation of data governance policies and standards Uphold data quality and integrity across organisation Ensure adherence to data security and privacy regulations Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives Bachelor's degree in Computer
provide meaningful analytics and insights, integrating data from various internal and external platforms and including online testing of business data collected from the data warehouse and various business systems to further support business Extract and analyse data, identifying trends in systems and applications currently and predict future forecasts Create and apply data management solutions that are relevant and provide provide information for the business to ensure the data adds value to the operations and that the business
gather data from internal systems to support financial data as reported in Pastel, analyse data from internal IFRS17 standard and application thereof, reconcile data between internal systems and Pastel, and integrate Gathering data from internal systems to support financial data as reported in Pastel; Analyse data from internal standard and application thereof; Reconciliation of data between internal systems and Pastel; Integration internal systems with Vena database; Formatting of Vena data to prepare it for the IFRS 17 system, "Risk Integrity";
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
financial institution in South Africa, is seeking a Data Solutions Architect to join their team in Sandton Purpose To define the technology solution for the Data and Analytics (D&A) environment and ensure that to Line Head: Data and Analytics Responsibilities: Technical Design of the Managed Data Estate / BI Solution management Delivery and development of best practice data architecture standards, policies and procedures and design including creating and evaluating new data patterns. Certified industry qualifications: Cloud
visionary in the provision of innovative ICT and Data Center infrastructure solutions. Requirements: At relevant industrial and commercial experience with a Data Center Infrastructure skill set. At least 2 years' Design and Consulting experience with preferably Data Centre Infrastructure and ICT environment. Architectural OEM Certifications (APC, Emerson, etc – Certified Data Centre Design Engineer and relevant product certification infrastructure and plant design and commercialisation. Data centre plant infrastructure. Oversee project production
and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements: