Accepting Applications
Full-time
On-site
LinkedIn
Posted 1 week, 4 days ago
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0 applications
Job Description
- 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