Data Engineer

TWK Agri has the following vacancy available: Data Engineer within the IT division at Pretoria, Gauteng.

Responsibilities and Duties

• Define and implement the enterprise data and analytics strategy aligned to business objectives and Enterprise Architecture framework
• Drive data governance practices, data ownership, and data quality frameworks
• Oversee the delivery and continuous improvement of dashboards, reports, KPIs, and self-service analytics
• Manage BI platforms (e.g. Power BI) ensuring reliability, consistency, and adoption across the organisation
• Work closely with business users to understand reporting requirements and translate them into effective solutions
• Lead the design of data models, data integration, and modern data platforms (cloud or hybrid)
• Design and build the enterprise data warehouse architecture to support robust, scalable, and secure data storage and access for enterprise-wide reporting and analytics
• Develop and manage ETL processes for data ingestion, transformation and integration
• Oversee data sources, either cloud-based or on-premises, ensuring security and compliance
• Champion the use of advanced analytics, predictive modelling, and data science where applicable
• Partner with business teams to turn data into actionable insights
• Build, lead and mentor a multi-disciplinary team: BI Developers, Data Analysts, Data Engineers, Data Scientists
• Foster a culture of data literacy and empower business users through training and enablement

Qualifications and Skills

• Bachelor’s degree in Computer Science, Informatics, or Statistics
• 8+ years’ experience as a Data Engineer or a similar role
• 5+ years' with DB2, MS SQL, ETL, and data warehousing
• Certified in Azure Synapse with 2+ years’ experience
• Skilled in SQL, data modelling, and BI tools (Power BI, Tableau, etc.)
• Proficient in data analysis tools, Google Analytics, Salesforce
• Experience with data strategy, governance, and cloud platforms
• Knowledge of machine learning and data privacy (POPIA, GDPR)
• Strong stakeholder engagement, business insight, and leadership
• Strategic, detail-orientated, and passionate about data-driven work