Data Engineer – Automated Pipelines & Insight Enablement

Econofoods; Bellville; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Econofoods data team in South Africa is seeking a Data Engineer to design, build and maintain data infrastructure and pipelines, enabling reliable reporting and analytics for Retail, Logistics and Finance teams.

You will collaborate across Enterprise Architecture, IT and business units to ensure data is captured, governed and available for decision-making. The role emphasizes automation, data quality and AI-enabled data capabilities with POPIA and ISO27001 compliance.

Qualifications

• Design, develop and maintain data pipelines across multiple systems.
• Ensure data is accurate, complete and available for reporting.
• Collaborate with IT, architecture and business teams.
• Implement automated data-quality checks and validation controls.
• Support data governance, security and compliance including POPIA/ISO27001.

Responsibilities

• Data Integration & Pipeline Development: design, develop and maintain ETL/ELT data pipelines across multiple business systems.
• Data Quality, Integrity & Reliability: implement automated data-quality checks and validation controls; monitor data pipelines for issues.
• Analytics & BI Enablement: develop analysis-ready datasets and support reliable data models for dashboards.
• Automation & Continuous Improvement: optimise queries, pipelines and processing routines.
• Business Transformation & Systems Projects: participate in transformation projects and data migrations.
• Data Governance, Security & Compliance: apply governance standards and ensure access controls.
• Documentation & Technical Support: maintain docs and data dictionaries and provide troubleshooting.
• Artificial Intelligence & Agentic Capability: leverage AI tools in data engineering under governance.

Skills

ETL/ELT pipelines

Data integration

Data quality

Automation

Data governance

SQL

Analytics

BI enablement

Job description

Econofoods data team in South Africa is seeking a Data Engineer to design, build and maintain data infrastructure and pipelines, enabling reliable reporting and analytics for Retail, Logistics and Finance teams.

You will collaborate across Enterprise Architecture, IT and business units to ensure data is captured, governed and available for decision-making. The role emphasizes automation, data quality and AI-enabled data capabilities with POPIA and ISO27001 compliance.