Head of Data Engineering – Microsoft Fabric
Contract & Location: 9 month contract - 2 days per week in London office.
Rate: £675/day Outside IR35
Role:
- Leadership & Strategy: Lead the Data Engineering function and own the enterprise data engineering strategy, architecture roadmap, standards, and delivery across a Microsoft Fabric-led data estate.
- Microsoft Fabric Expertise: Provide senior technical leadership across Microsoft Fabric, including OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Spark Notebooks, KQL and Real-Time Intelligence.
- Data Architecture & Migration: Design and oversee modern cloud-first data architectures, including Delta Lake and Bronze/Silver/Gold medallion patterns, with experience migrating legacy platforms such as Oracle or Azure Synapse.
- Enterprise Data Integration: Lead the integration and data engineering strategy across key enterprise platforms including Salesforce, Certinia, Workday, Dynamics 365 F&O, GMS, ECS, Avetta, Rydoo and Tipalti.
- Engineering Team Leadership: Lead and develop a multidisciplinary engineering team covering development, testing, release management and platform operations, establishing strong engineering standards, code reviews and agile delivery practices.
- Governance, Security & Quality: Own data governance, security and lineage using technologies such as Microsoft Purview, Entra ID and RBAC, ensuring robust controls, data quality and compliance.
- DevOps & Operational Excellence: Establish CI/CD, Git-based source control, automated deployment and infrastructure-as-code practices, while optimising Spark workloads, Fabric capacity, performance and cost.
Head of Data Engineering in London employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
