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Databricks Data Engineer

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Job Description

Data Engineer – Active SC, Databricks, PySpark

Up to £475 per day (Inside IR35)

Remote / London

6 months

My client is an International Consultancy who are recruiting for an Data Engineer with Active Security Clearance (SC) and strong Databricks and Azure experience to deliver and optimise Data engineering solutions.

Key requirements:

Proven experience as a Data Engineer with Active Security Clearance (SC)
Strong experience with Databricks, PySpark and Delta Lake
Expertise in Jobs & Workflows, cluster tuning, and performance optimisation
Solid understanding of Data governance (Unity Catalog, Lineage, Access Policies)
Hands-on with Azure services: Data Lake Storage (Gen2), Key Vault, Azure Functions
Familiarity with CI/CD for Databricks deployments
Strong troubleshooting in distributed Data environments
Excellent communication and collaboration skills
Nice to have:

Immediate availability
Experience with enterprise-scale Databricks environments
Knowledge of Azure Synapse, Power BI and cost optimisation strategies

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