Where

Data Engineer

TWK Agri (Pty) Ltd
Pretoria Full-day Full-time

Description:

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

*The company can expire job adverts at any time at their own discretion.

Requirements:

  • 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
  • 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
22 Apr 2025;   from: careers24.com

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