Data Engineer Manager

Data Engineering Manager - London (Hybrid) - Databricks/ Fabric - £competitive

This is an opportunity to join a growing, highly regarded data consultancy that is delivering cutting-edge data engineering solutions across a range of industries.

They have built a strong reputation for combining hands-on technical excellence with strategic delivery, working closely with clients to design and implement modern data platforms across Azure, Databricks and Microsoft Fabric.

What makes them stand out is their ability to offer true variety and progression, you'll work across multiple clients, influence strategy and play a key role in shaping both solutions and teams.

It's a great fit for someone who enjoys client engagement, leadership responsibility and staying close to the tech.

You Will Work With

• Leading end-to-end Data Engineering delivery across multiple client engagements
• Designing and building data pipelines, lakehouse architectures and data platforms
• Working hands-on with Spark, SQL and Python
• Leveraging Azure Data Services, Databricks and Microsoft Fabric
• Engaging directly with clients to gather requirements and shape solutions
• Driving and supporting pre-sales activities (solution design, proposals, demos)
• Managing and mentoring data engineering teams
• Facilitating workshops and presenting solutions to technical and non-technical stakeholders
• Ensuring best practices across data governance, architecture and delivery

Benefits

• Strong focus on career progression into senior leadership roles
• Investment in training, certifications and professional development
• Exposure to cutting-edge technologies (Fabric, Databricks, AI-driven platforms)
• Varied, high-impact projects across multiple industries
• Collaborative, high-performing team environment
• Flexible hybrid working model

Key Experience

• Proven experience in Data Engineering, with strong hands-on expertise
• Recent experience working in a consultancy environment
• Demonstrated people management and leadership experience
• Strong client-facing and stakeholder engagement skills
• Experience designing and delivering: Data pipelines, data lakes / lakehouse architectures & data warehouses
• Strong knowledge of Azure Data Services (Synapse, Data Factory, Databricks, Fabric)
• Proficiency in SQL and Python
• Experience contributing to pre-sales / solution design
• Ability to balance hands-on delivery with leadership and strategy

Apply Now

If you're looking to step into a lead role within a growing consultancy, where you can shape strategy, lead teams and work hands-on with modern data platforms.