Azure Data Engineer

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.