Azure Data Engineer (Data Lake Ownership)

• Own end-to-end Azure data lake build and operations
• Hands-on Spark + Azure expert with production-scale delivery

About Our Client 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

Job 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

The Successful Applicant

• 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

What's on Offer

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

Contact: James Jefferson Quote job ref: JN-062026-7047587