Data Engineering Lead

Data Engineering Lead - Up to £46,000 + Bonus + Exceptional Benefits (Civil Service Pension) + Hybrid (Stratford, London)

We're looking for a Data Engineering Lead who thrives at the intersection of data, technology, and business strategy. This is an exciting opportunity to lead the development of enterprise-wide data solutions that provide clear visibility of performance, value delivery, and strategic outcomes.

Working with senior stakeholders across technology, finance, product, and portfolio teams, you'll transform complex and fragmented datasets into meaningful insights that enable better decision-making across the organisation.

If you're passionate about modern data platforms, analytics engineering, and delivering business impact through data, we'd love to hear from you.

What You'll Be Doing

• Design and build scalable data pipelines that integrate data from operational, financial, and project delivery platforms.
• Develop robust ETL/ELT processes and data models to support performance reporting, benefit tracking, and strategic analytics.
• Create and maintain executive-level dashboards using Power BI, Microsoft Fabric, Tableau, or similar technologies.
• Build automated monitoring and alerting solutions to identify performance risks, trends, and opportunities.
• Establish a trusted, organisation-wide source of data to support prioritisation, planning, and investment decisions.
• Work closely with business, technology, finance, and portfolio stakeholders to translate complex requirements into scalable data solutions.
• Champion data governance, quality, security, and compliance best practices.
• Drive continuous improvement in reporting, analytics, and data engineering capabilities.

• Proven experience delivering enterprise-scale data engineering solutions.
• Strong background in data modelling, metadata management, development, testing, and deployment.
• Advanced Power BI and/or Microsoft Fabric expertise, including executive dashboard creation.
• Experience building and maintaining data warehouses, data lakes, and modern analytics platforms.
• Strong knowledge of ETL/ELT frameworks and cloud technologies including Azure and/or AWS.
• Experience supporting large-scale digital transformation programmes.
• Understanding of cyber security principles and regulatory requirements.
• Excellent stakeholder engagement and communication skills, with the ability to present technical concepts to senior non-technical audiences.

• Experience within PMO, portfolio management, strategy, or value management environments.
• Financial modelling, commercial analytics, or benefits realisation experience.
• Previous team leadership or line management experience.
• Microsoft Fabric Analytics Engineer Associate, Power BI, or other relevant BI certifications.
• Tableau experience.

• Degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Microsoft Data Engineering certification (or equivalent).
• Additional Business Intelligence or Data Visualisation certifications are advantageous.