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

Job Offer

End-to-end ownership of a business-critical data platform
Exposure to large-scale transformation and senior stakeholders
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

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