Data Engineer ICT Data Management Department at FSCA South Africa

Purpose of the job:

• To Design, build, expand, and optimize the data pipelines, as well as optimize data flow and optimize the organization’s data ingestion process to support data initiatives. The person appointed to this position will report to the Senior Specialist: ICT Data Management.

Key Performance Area:

• Develop, innovate and maintain the data architecture that will drive various initiatives/projects across the organisation
• Collaborate with teams to build strategic data models that will help enable the achievement of business outcomes
• Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms
• Conduct complex data analysis and report on results
• Build and optimise data pipelines and datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain datasets
• Analyse raw data and Interpret trends and patterns
• Prepare data for prescriptive and predictive modelling
• Implement existing frameworks to optimize functionality.
• Deploy and schedule ETL jobs (Batch/Micro batch processing)
• Partner with various stakeholders within the organisation to drive the improvement in the way that data is stored and consumed.
• Support application team development by writing stored procedures, functions etc.
• Develop and maintain data security and permissions, including data encryption and database user access controls and logging.
• Build algorithms and prototypes.
• Lead business stakeholder’s engagement on data standards and reporting requirements in order to derive the data driven strategy of the FSCA.

Other Key Competencies:

• The candidate must demonstrate the following skills  and attributes: Must have extensive experience  with ETL, technical expertise with data models, data mining, and segmentation techniques, experience using MS SSIS, MS SSAS, MS SSRS, Power BI and Visual Studio data tools, advanced working SQL knowledge and experience working with relational databases, dimensional modeling, query authoring (SQL) as well as working familiarity with a variety of other databases, experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify  opportunities for improvement, ability to deal professionally with internal and external clients, Ability to work under pressure and meet deadlines, Innovative thinking and planning skills, Ability to function independently.

Requirements

• A degree in computer science, IT, or related field. Data engineering certification is a plus, and more than 5 years’ experience as a data engineer/ETL Developer is a requirement.

Closing Date: 04 September 2026.