Data Engineer

TWK Agri; Pretoria; On-site; ZAR 50 000 - 100 000; Full time

Job summary

An established industry player is looking for a skilled Data Engineer to lead their data and analytics strategy. This role involves defining data governance practices, overseeing the delivery of impactful dashboards, and managing BI platforms like Power BI. The ideal candidate will have extensive experience in data engineering, a strong command of SQL and data modelling, and a passion for fostering a data-driven culture. Join a forward-thinking organization where your expertise will drive meaningful insights and enhance decision-making across the business. This is an exciting opportunity to shape the future of data analytics in a collaborative environment.

Qualifications

• 8+ years’ experience as a Data Engineer or similar role.
• Strong knowledge of data governance and cloud platforms.

Responsibilities

• Define and implement enterprise data and analytics strategy.
• Oversee delivery of dashboards, reports, and self-service analytics.
• Manage BI platforms ensuring reliability and adoption.

Skills

Data Governance

Data Quality Frameworks

BI Platforms Management

SQL

Data Modelling

Predictive Modelling

Stakeholder Engagement

Education

Bachelor’s degree in Computer Science

Certified in Azure Synapse

Tools

Power BI

Tableau

DB2

MS SQL

Google Analytics

Salesforce

Job description

Job Location : Gauteng, Pretoria Deadline : May 23, 2025 Quick Recommended Links

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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