Director: Data Engineering

Requirements

A Grade 12 is required with a minimum of Bachelor’s degree (equivalent to NQF Level 7) in Computer Science or Software Engineering or Data Science. NQF level 8 will be an added advantage. A minimum of 5 years’ experience at a middle / senior managerial level obtained in a data and software engineering environment. Experience with data integration and modern data warehousing. Knowledge and experience of data governance and security. In-depth knowledge in programming languages and software such as R, Python, SQL, AWS. Successful completion of the Nyukela Public Service Senior Management Leadership Programme as endorsed by the National School of Government available as an online course on https://www.thensg.gov.za/training-course/sms-pre-entry-programme/, prior to finalisation of an appointment.

Key Responsibilities

Data infrastructure and architecture: Lead the design, development, and maintenance of data architecture, pipelines, and integrations to ensure seamless data flow and accessibility for advanced analytics. Drive innovation in data infrastructure by implementing automation, real-time data processing, and cloud-based solutions. Oversee the integration of data sources, data warehousing, and cloud solutions that enable scalable and efficient data processing. Develop interoperable data infrastructure that supports seamless data collection, processing, and analysis within government Digital Public Infrastructure (DPI) systems. Data integration, interoperability and automation: Oversee data integration to ensure seamless data flow across different systems, platforms, and departments (internal and external). Implement ETL (Extract, Transform, Load) processes to integrate data from various sources. Ensure data interoperability to support data sharing and collaboration across divisions within National Treasury. Lead the design, development, and implementation of robust, scalable APIs to enable seamless data integration across internal systems and third-party applications. Automate data workflows/processes to streamline data movement and reduce manual processing. Data security: Implement data security measures, including encryption, data masking, and access controls, to protect sensitive data. Ensure compliance with data protection regulations (e.g. POPIA) and internal security policies. Conduct regular security audits and vulnerability assessments to identify and mitigate risks. Collaborate with data governance team to establish data quality frameworks, ensuring data accuracy, consistency, and integrity across all systems. Stakeholder engagement: Engage internal and external stakeholders on new developments pertaining to data architecture. Represent National Treasury on inter-governmental and other external forums and committees related to data analytics. Establish relationships with key government departments, research and international organisations to advance data governance functions.

How to Apply

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