This role requires a hands‑on Data Engineer who has personally delivered and operated a full data lake on Azure. You will initially partner on build, then take full ownership of platform performance, scalability, and evolution.

Client Details

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.

Description

• 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

Profile

• 5‑7 years’ Data Engineering experience with at least 1 full data lake deliv...