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My client is seeking an experienced Lead Data Engineer to drive the design, delivery, and evolution of a modern data platform built on Databricks, Microsoft Fabric, Azure Synapse, and Azure. This is a hands‑on technical leadership role where you'll guide a team of Data Engineers, set engineering standards, and deliver scalable, secure, high‑performing data solutions.
What you'll lead
Lead and mentor a high‑performing Data Engineering team.
Act as the technical SME across Databricks, Fabric, Synapse, and Azure.
Own solution design, implementation strategy, and technical delivery.
Build and optimise pipelines using PySpark, Spark SQL, ADF, Synapse Pipelines, or Fabric Pipelines.
Define engineering best practice, conduct code reviews, and uplift quality.
Develop secure, performant SQL solutions.
Manage Azure DevOps Boards, Repos, and CI/CD Pipelines.
Collaborate with architects, product owners, and stakeholders.
Drive Agile delivery, sprint planning, and continuous improvement.
What you'll bring
Proven leadership of Data Engineering teams.
Strong commercial experience with Databricks, Microsoft Fabric, or Azure Synapse.
Deep expertise in PySpark, Spark SQL, and SQL optimisation.
ETL/ELT pipeline development and orchestration.
Experience building scalable cloud‑based data platforms.
Hands‑on Azure DevOps experience-Boards, Repos, CI/CD.
Nice to Have
Graph databases (Neo4j).
Snowflake experience.
AI‑assisted development tools (Claude, GitHub Copilot).
Azure DevOps Pipelines.
Broad experience across Databricks, Fabric, and Synapse.
Preferred Certifications
Microsoft Fabric Analytics Engineer Associate.
Microsoft Fabric Data Engineer Associate.
Databricks Professional Certification.
Snowflake Certification.
