Azure Data Engineer
Summary
Build and run Azure-based data lakes and Spark pipelines, model data for Power BI, and enforce governance and quality in a large-scale digital transformation.
A multi-regional organisation undergoing a large-scale digital transformation focused on modern data platforms. The business is investing heavily in enterprise-grade cloud, data, and analytics capabilities.
- Design and build Azure-based data lake (ADLS, ADF, Synapse/Fabric)
- Develop production-grade Spark pipelines (batch & near real-time)
- Own data modelling for Power BI (star schema, semantic layers)
- Implement data governance, lineage, and quality controls (e.g. Purview)
- Take full ownership of platform BAU: monitoring, performance, cost
- 5-7 years' Data Engineering experience with at least 1 full data lake delivery
- Expert in Azure stack (ADF, ADLS, Synapse/Fabric) + strong PySpark
- Proven ownership of production pipelines (design, deploy, operate)
- Strong SQL & Python; experience with APIs, ERP integrations (e.g. D365)
- Demonstrated experience structuring data specifically for Power BI