Azure Data Engineer
Posted Updated 5
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Summary
Azure Data Engineer on an 18-month fixed-term contract, hybrid (1-2 days onsite in London), building a modern Azure data platform: designing and developing automated data pipelines across ingestion, transformation, and delivery using Data Factory, Databricks, Synapse, and Logic Apps, with strong SQL, Kimball warehousing, and Python/PySpark skills.
Azure Data Engineer - 1/2 days onsite
18 month FTC
Summary:
Join a team building a modern Azure-based data platform. This hands‑on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster insights.
Key Responsibilities:
- Develop and maintain data pipelines using Azure services.
- Ingest, transform, and model data from diverse sources.
- Optimise data flows for performance and reliability.
- Support data quality and monitoring processes.
- Collaborate with cross-functional teams in an agile environment.
Collaboration With:
- Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams.
Skills & Experience:
- Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.).
- Strong SQL and experience with data warehousing (Kimball methodology).
- Programming skills in Python, Scala, or PySpark.
- Familiarity with Power BI, SharePoint, and data integration technologies.
- Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS).
- PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions.