Our client is a leading integrated supply chain and logistics organisation that delivers innovative distribution, warehousing, and transport solutions across Southern Africa. Operating within a highly data-driven environment, the business manages a large-scale logistics network that supports the movement of products from manufacturers to retailers and customers nationwide.

Are you passionate about designing modern data platforms and building scalable data solutions in the cloud? We are looking for an experienced Data Engineer to join a dynamic Data & Analytics team delivering enterprise-grade data solutions across a variety of industries.

• 3+ years of Data Engineering experience.
• Strong SQL development and query optimization skills.
• Hands-on experience with Microsoft Fabric.
• Experience designing and building Databricks ingestion and transformation pipelines.
• Experience implementing Bronze, Silver, and Gold data layers within a Medallion Architecture.
• Strong ETL/ELT development experience.
• Experience with Azure Data Factory and/or Azure data services.
• Experience with Data Warehousing and Lakehouse architectures.
• Ability to create and maintain technical documentation and data flow artefacts.
• Strong analytical and problem-solving skills.

What You'll Be Doing

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Build and optimize data ingestion and transformation pipelines using Databricks and Microsoft Fabric.
• Design and implement Medallion Architecture (Bronze, Silver, and Gold layers) to support analytics and reporting requirements.
• Develop robust ETL/ELT processes to ingest, transform, and deliver data from multiple source systems.
• Work with structured and unstructured data from enterprise applications, databases, APIs, and cloud platforms.
• Support the construction and maintenance of data flow maps, technical documentation, and solution artefacts.
• Build and maintain data warehouses, lakehouses, and modern analytics platforms.
• Collaborate with business stakeholders, analysts, architects, and developers to deliver data-driven solutions.
• Ensure data quality, governance, and performance optimization across the data platform.
• Contribute to solution design, architecture discussions, and best-practice implementation.