Lead Data Engineer (Databricks)

Job Description
Lead Data Engineer - Databricks Up to £75,000 | Permanent | Huddersfield | 4 days onsite Want to build the data platform rather than just maintain one?This is an opportunity for a hands-on Lead Data Engineer to play a key role in a major data transformation - moving a complex, multi-site UK organisation away from fragmented Legacy data and manual processes towards a modern Databricks environment .There's plenty to build, plenty to improve and a genuine opportunity to influence how Data Engineering is done.We're looking for someone who loves Data Engineering, can lead from the front technically and wants to take ownership of a small engineering team while remaining close to the code.
The role
As Lead Data Engineer , you'll take day-to-day ownership of engineering delivery across the Databricks platform, working closely with the Head of Data Engineering and leading a small team of Data Engineers. You'll be joining at an important point in the organisation's transformation. Databricks is becoming the strategic data platform, with a significant programme underway to create better engineered pipelines, trusted data models and reusable data products. This is not a hands-off management role . You'll remain technically involved - designing solutions, building pipelines and solving engineering problems - while providing the direction, standards and leadership the wider team needs.Over time, you'll become a key internal technical authority for Databricks, working closely with Data Architecture and senior data leadership to shape how the platform evolves and what gets built next.
What you'll be doing

Leading Data Engineering delivery across Databricks
Remaining hands-on with engineering, development and problem-solving
Designing and building scalable, reliable data pipelines
Helping establish effective bronze, silver and gold data layers
Developing curated, trusted and reusable datasets
Improving data quality, structure and provenance
Supporting the development of enterprise data models and single sources of truth
Leading, mentoring and developing a small team of Data Engineers
Prioritising and allocating engineering work across multiple projects
Establishing strong engineering standards and ways of working
Working closely with Data Architecture, Analytics and wider technology teams
Acting as a technical sounding board to the Head of Data Engineering
Helping reduce manual data processes through better engineering and automation
Building internal Databricks knowledge and capability
Deputising for senior Data Engineering leadership when required

The environment
This is a large, complex and highly distributed organisation with a substantial data estate spanning multiple business areas, locations, systems and data sources. There is a significant roadmap of transformation ahead, with opportunities to improve how operational, customer, commercial and product data is brought together and used across the organisation. A major focus is reducing fragmented and manual ways of working and creating properly engineered, trusted data that can support everything from day-to-day decision-making through to advanced analytics, automation and future AI initiatives.You'll be joining while that environment is being built - not once all the interesting decisions have already been made.
What we're looking for
We're looking for a Data Engineer first and a leader second - someone who has progressed into technical leadership but still genuinely enjoys building.
You'll ideally bring:

Strong commercial Data Engineering experience
Hands-on Databricks expertise
Excellent SQL skills
Experience designing and developing production data pipelines
Strong understanding of modern data-platform architecture
Experience working within complex enterprise data environments
Previous team leadership or line-management experience
The credibility to lead and develop experienced Data Engineers
Strong stakeholder-management and communication skills
The confidence to challenge, prioritise and make decisions
A proactive, pragmatic and delivery-focused approach

Python would be useful but isn't essential. More important is a genuine passion for Data Engineering - making data flow better, removing unnecessary manual processes and building platforms that other teams can confidently use.
Why this one?
Because you're not walking into a finished environment and being asked to maintain it. You'll join while the organisation is actively transforming its data estate, giving you the opportunity to shape the Databricks platform, influence engineering standards, develop the team and see the impact of what you build across a large UK organisation. If you're a hands-on Lead Data Engineer looking for more ownership, influence and the opportunity to help build something proper