Data Engineering Lead

About the role

• Set the technical strategy and architecture for the combined data and analytics engineering platform - from ingestion pipelines through to the semantic and transformation layers, defining standards for pipeline design, the Medallion Architecture and data modelling across Microsoft Fabric.
• Line-manage and develop the data engineering team, providing technical direction, coaching, and career development for Data Engineers.
• Own the platform's reliability, scalability, and cost profile end-to-end, and the roadmap for data modelling and the Medallion Architecture (bronze, silver, gold layers), prioritising investment against business demand and risk.
• Own data modelling and pipeline documentation standards in the data catalogue, reducing key-person dependency and enabling self-service analytics across the business.
• Partner with the BI & Reporting and Data Governance to ensure a seamless, well-governed pipeline from raw data through to certified reporting and analytics datasets.
• Represent data and analytics engineering in planning and prioritisation discussions with the Head of Data, translating business priorities into a realistic delivery roadmap.
• Lead recruitment, onboarding, and technical assessment for the combined team as and when it grows.
• Champion engineering best practice - code review, testing, CI/CD, version control, and documentation - raising the bar across the wider Data & Analytics function.

Essential

• Proven track record as a senior or lead Data Engineer, Analytics Engineer, or similar, with a particular hands-on expertise in data modelling
• Strong SQL and Python skills, with strong experience of a modern cloud data platform (e.g. Microsoft Fabric, Azure Synapse, Databricks, Snowflake)
• Deep understanding of Medallion/lakehouse architecture, dimensional modelling, and dbt or an equivalent transformation framework
• Experience setting technical architecture and standards across both pipeline engineering and data modelling
• Experience line-managing or leading a technical team, including coaching and performance development
• Strong stakeholder management skills, able to translate business priorities into a credible technical roadmap
• Sound judgement balancing delivery pace, technical debt, and platform risk

Desirable

• Experience in an energy, utilities, or regulated industry
• Deep familiarity with Microsoft Fabric at platform-owner level
• Experience building or scaling a combined engineering function from a small team
• Exposure to data governance and cataloguing tools (e.g. Microsoft Purview)
• Experience establishing data testing and CI/CD practices across pipelines and analytics codeSemantic link labs library familiarity/experience

What we Offer

• Competitive salary.
• Performance-related bonus.
• Training and professional development opportunities.
• Career progression within a fast-growing renewable energy business.
• Flexible and hybrid working arrangements.
• Pension scheme.
• Annual leave plus public holidays.
• Employee wellbeing programme.
• Opportunity to contribute to the transition to a low-carbon future.

Flogas is an equal opportunity employer. We encourage diversity and are committed to creating an inclusive environment for all employees.