Data Engineer

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Purpose of the Role : The Data Engineer is the architect and builder of Dis-Chem Life’s data foundation, creating the infrastructure that turns raw information into a strategic asset. This role goes far beyond moving data from A to B, it is about designing high-performance, future-proof systems that make data accurate, accessible, and truly powerful. By developing best-in-class data pipelines, warehouse systems, architecture, and governance frameworks the Data Engineer enables the entire organisation—from actuarial, data science and analytics teams to general operations—to work with clean, structured, and reliable datasets at scale while protecting our customers’ data privacy as stipulated in the POPI Act. Solving hard engineering problems, building resilient ingestion frameworks, handling messy and complex source systems, optimising cloud architecture for cost and performance, and ensuring that every downstream user can focus on insight and innovation rather than wrangling. The ultimate purpose is to build and continuously evolve a scalable, intelligent data platform that grows with Dis-Chem Life’s ambitions, fuels advanced analytics and modelling, unlocks automation, and sets a new benchmark for how data drives customer intelligence and operational excellence in the South African insurance industry.

Summary Of The Role

The Data Engineer is responsible for designing, implementing, and maintaining the core technical solutions that keep Dis-Chem Life’s running at peak performance. This includes building scalable and resilient data ingestion frameworks, integrating complex source systems, and optimising cloud architecture for both performance and cost efficiency. The role requires deep hands-on experience with modern data engineering tools, ETL / ELT processes, workflow orchestration, and cloud platforms. Strong problem-solving skills, precision, and the ability to collaborate seamlessly with analytics, AI, and automation teams are essential. The Data Engineer continuously drives improvements in data processes and platform efficiency, ensuring the organisation can rely on high-quality, reliable data to make faster, smarter, and more impactful decisions.

Benefits

• Competitive salary
• Direct and significant influence over building the company’s data backbone as we are still in early development stages.
• Exposure to advanced analytics and AI projects with real-world business impact
• Access to modern cloud, orchestration, and automation technologies
• Hybrid working model with flexibility and autonomy
• Will be working with interesting datasets comprising health data, customer behaviour, payments, retail spend, etc.

Key Responsibilities

Soft Skills

Technical Skills

Experience

Qualifications

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