Specialist: Data Engineering at Road Accident Fund

End Date:  7 May 2026

Key Performance Areas

 Data Engineering and Insight

• Design, operationalise, secure, and monitor data pipelines and data stores.
• Design solution, standards, policies and governance requirements.
• Ensuring data is accessible for the evaluation and optimisation for downstream use case consumption.

 Drive Automation Through Effective Metadata Management

• Utilise innovative and modern tools, techniques and architectures to automate data preparation and integration tasks.
• Maintain data management infrastructure to drive automation in data integration and management.
• Create, maintain and optimise workloads that move from development to production for specific use cases.

Structuring Data Tools and Integration

• Track data consumption patterns.
• Perform intelligent sampling and caching.
• Monitor schema changes.
• Recommend and automate existing and future integration flows.

Data Quality

• Contribute to and enforce data quality standards and processes across all data engineering projects.

Unstructured Data Management

• Implement strategies for the efficient handling, storage and processing of unstructured data, including the use of Enterprise Content Management systems, intranet sites, and web channels.
• Contribute to policies and tools for tagging, categorising, and indexing unstructured data to enhance searchability and access.
• Implement initiatives to integrate unstructured data with structured databases and analytics tools.
• Evaluate business needs for unstructured data management.
• Monitor the effectiveness of unstructured data management processes for intranet, web, and other data sources.

Policy Review and Implementation

• Contribute to developing and implementing departmental policy, standards and procedures, and processes.
• Keep up to date with effective policy and practice execution strategies.

 Reporting

• Track and prepare the project status report on the progress of the implementation of reporting requirements.
• Develop reports/ procedures and guide the process through the alignment of the documents to the overall RAF’s Strategy.
• Develop functional reporting systems for management, projects or performance reporting.

Stakeholder Management

• Participate in ensuring compliance and governance during data use
• are invoiced and paid on time.
• Communicate with all levels of stakeholder contact.
• Represent the Fund in relevant external activities and events.

Qualifications and Experience

• Bachelor’s Degree/ Advanced Diploma in Information Technology or a Computer Science or Business Administration or Commerce/ Business or Engineering.
• Professional certification in Data Platform/ Technology framework(s) will be an added advantage.
• Relevant 5 - 7 years’ experience in Data Engineering environment.
• Experience in developing and building databases, warehouses, reporting and data integration solutions.
• Experience in building and optimising big data pipelines, architectures, and data sets.
• Experience in Cloud -native data environments and platforms.
• Experience in Infrastructure -as-code, CI/ CD.