Lead Data Engineer ( Databricks )
London - Hybrid - Remote
Permanent
£100,000 - £130,000 plus up to 20% bonus based on performance and commercial contribution
About the Role
We’re looking for aLead Data Engineerto spearhead some of our clients most strategic Databricks engagements.
This is a senior client-facing leadership role, blending hands-on technical delivery with architectural design and pre-sales influence.
You'll be leading high-performing squads, guiding complex transformations, and working directly with senior stakeholders to bridge business needs and engineering excellence — particularly in industries like manufacturing, utilities, and aviation.
This is a key hire to support our clients expanding Databricks practice, to build capacity for future growth.
What You’ll Be Doing
- Act as the technical lead on client engagements, owning design and delivery of data solutions in Databricks.
- Architect robust, scalable data platforms using the medallion architecture.
- Translate business requirements into scalable workflows, advising on data governance, quality, and security.
- Design and implement complex data pipelines using tools like Delta Live Tables (DLT) and Unity Catalog.
- Guide teams in implementing best practices across engineering, DevOps, and model deployment.
- Support pre-sales activity, including shaping proposals, estimates, and technical roadmaps.
- Provide technical leadership, mentorship, and oversight to squads of Senior and Associate Engineers.
- Collaborate closely with Platform Engineers and Platform Architects to align infrastructure with data needs.
- Contribute to growing the Databricks capability – from delivery frameworks to internal tooling and capability development.
- Lead a team of data engineers, fostering a collaborative and growth-oriented environment.
- Evaluate new data engineering technologies and strategies, assessing their relevance and fit for the organisation’s strategic goals.
- Work closely with the commercial team to scope projects and develop proposals that align technical capabilities with client requirements.
What We’re Looking For
Essential Skills & Experience
- 8+ years in data engineering, with at least 2+ in atechnical leadershiprole
- Proven experience designing and leadingDatabricks-baseddata platforms
- Deep understanding of themedallion architecture, data lakehouse design, and transformation workflows
- Hands-on expertise withDLT,Unity Catalog, and model deployment frameworks
- Strong communication and consulting skills – able to lead client conversations and manage stakeholders
- Experience in agile delivery environments and cross-functional teams
- Commercial awareness – comfortable contributing to pre-sales, growing accounts, and engaging with commercial targets
Desirable Skills
- Experience inphysical asset-heavy industries(e.g. utilities, manufacturing, aviation)
- Familiarity withplatform and DevOps collaboration, especially onAWS or Azure
- Certifications in Databricks or cloud platforms (AWS/Azure)
- Background in consulting or client delivery environments
Why Join Us?
- Join a consultancy that’sdoubling down on Databrickswith enterprise-grade delivery
- Be the go-to technical leader on projects with real-world business impact
- Shape the future of ourDatabricks workforce strategyand delivery model
- Career progression intoDelivery Lead,Practice Lead, orPre-Sales Specialist
- Competitive compensation and strong bonus structure, aligned with delivery and commercial impact
To find out more about this high profile Lead Data Engineering position, click apply.
