Data Engineering Lead
Summary
Lead a team of eight data engineers, turning data architecture into standards, patterns, and work packages while owning CI/CD, source control, and delivery of data warehouse improvements and integrations. Guides the shift from on-prem/Azure (Synapse, Data Factory) toward Microsoft Fabric. Hybrid: 2-3 days/week in Manchester plus monthly London travel.
In this role you lead a data engineering team to turn architectural vision into practical standards and work packages. You will bridge on-prem/Azure data platforms with the cloud shift toward Fabric, guiding delivery and best practices. You’ll work closely with architects and senior leaders to drive data warehouse improvements and new integrations. The position blends hands-on SQL prowess with strategic leadership in a growing data function.
Pay / Benefits- hybrid working
- 26 days’ holiday
- strong benefits package
- Lead a team of eight data engineers (including offshore resources)
- Translate data architecture into clear standards, patterns and work packages
- Review designs to ensure adherence to standards
- Own CI/CD and source control standards for data assets
- Lead change, incident and problem management for data platforms
- Deliver key projects including core data warehouse improvements and new integrations
- Support the move from on-prem/Azure to cloud, likely Fabric
- Collaborate with architects, stakeholders, and senior leadership with travel to London
- Very strong SQL
- Solid career in data engineering or data architecture
- Experience leading engineering teams (ideally including offshore)
- Hands-on experience with Azure data services (Synapse, Data Factory)
- Understanding of CI/CD, source control, release and incident management
- Available to be on site in Manchester 2–3 days/week and travel to London ~monthly
- Leadership and team coordination
- Stakeholder management
- Cross-functional collaboration
- SQL
- Azure Synapse
- Azure Data Factory