Senior Azure Data Engineer

Role Overview

The engineer will be working within an established Microsoft Fabric data platform, supporting the delivery of a large number of data transformation workflows.

The platform is already built - the focus is on high-quality, fast execution of flow-specific development within an existing architecture.

This role suits mid-level engineers who are hands-on, productive, and able to work independently as part of a wider team.

Core Technical Requirements (Must-Have)

• PySpark – essential
• Microsoft Fabric and/or Databricks (hands-on, production use) 
• Notebook-based development (Fabric / Synapse / Databricks) 
• Strong data pipeline development experience (ETL / ELT) 
• Experience working within Medallion architecture (Bronze / Silver / Gold)
• Understanding of good coding practices (readability, structure, maintainability) 
• Azure ecosystem experience preferred
• Experience working CRM systems

Experience & Profile

• 2–5 years experience (mid-level) 
• Able to work independently on defined user stories 
• Comfortable working as part of a collaborative delivery team 
• Not looking for architects or junior profiles 
• Energy/utilities / MHHS experience – nice to have 

Scope of Work

• Deliver PySpark-based development against defined requirements 
• Work within an existing Fabric-based architecture 
• Amend and extend existing pipelines (not building from scratch) 
• Support optimisation, fixes, and enhancements 
• Contribute to data transformation logic for multiple data flows 
• Support export of data to downstream systems 

Ways of Working

• Highly collaborative and interactive role 
• Regular engagement with internal stakeholders (technical and business) 
• Strong communication skills required 
• Working full-time in UK hours