At a Glance
- Tasks: Lead the Data Engineering function and shape enterprise data strategies using Microsoft Fabric.
- Company: Join a forward-thinking tech company in London with a focus on innovation.
- Benefits: Competitive daily rate, flexible work schedule, and opportunities for professional growth.
- Other info: Dynamic role with a focus on governance, security, and operational excellence.
- Why this job: Make a significant impact by leading cutting-edge data engineering projects.
- Qualifications: Extensive experience in data architecture and team leadership in a cloud environment.
The predicted salary is between 54000 - 66000 £ per year.
Contract & Location: 9 month contract - 2 days per week in London office.
Rate: £675/day Outside IR35
- 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.
We think you need these skills to ace Head of Data Engineering in London
Leadership
Data Engineering Strategy
Microsoft Fabric
OneLake
Lakehouses
Data Pipelines
Dataflows Gen2
