Data Engineering Lead

I am working with an exciting client who are currently investing heavily in its data and digital capabilities, including the implementation of a new Fabric based data platform and modern CRM technologies to improve services across the business.

This role sits at the centre of that transformation, helping to build and lead a brand new data engineering capability within a growing data team.

I am seeking a Lead Data Engineer to play a key role in developing a modern data platform while building and mentoring a small engineering team.

Reporting to the Head of Data, the role will combine hands on data engineering with team leadership, helping deliver scalable data pipelines, supporting internal stakeholders, and enabling faster insight across the organisation.

This is an opportunity to shape how data engineering operates within a business that is early in its data maturity journey.

• Lead and develop a new data engineering team
• Line manage two data engineers, supporting their growth and development
• Mentor engineers in modern engineering practices and tooling
• Design, build and maintain scalable data pipelines
• Contribute to the development of a Microsoft Fabric data platform
• Work with Lakehouse / medallion architecture
• Develop ETL/ELT pipelines using PySpark and SQL
• Ingest and transform data from SQL systems, flat files and CSV data sources
• Translate technical concepts into clear, business friendly language
• Support analytics and reporting teams with well structured, reliable datasets
• Contribute to data modelling and architectural decisions
• Experience building complex data pipelines
• Strong experience with PySpark and SQL
• Experience working with Microsoft Fabric
• Understanding of data modelling and architecture principles
• Experience mentoring or leading engineers

The organisation offers flexible hybrid working, typically 1–2 days per week in the office or they would consider someone fully remote who can come into the office once a month