Role: Lead Data Engineer - Azure/Databricks

Location: Sheffield

Working Model: Hybrid - 2 days per week in person

Salary: Up to £85k depending on experience

Own the data platform. Shape the future architecture.

This role is for a hands-on data engineering leader who wants to build something properly, not babysit legacy pipelines.

Youll take full ownership of the data engineering domain, leading the design and building of a modern, highly scalable data platform that handles complex, high-frequency industrial data. Youll work closely with data scientists, software engineers, and senior leadership, with the trust and mandate to make meaningful architectural decisions.

If you enjoy balancing strong engineering principles with real-world business needs, and you like mentoring others while staying deeply technical, this role is built for you.

What youll be working on

Architecting and rebuilding the data transformation layer in Databricks

Designing robust data flows that support both real-time operational views and deep historical analysis

Moving pipelines from ad-hoc scripts to software-engineering standards(CI/CD, testing, modular design)

Defining clear data models, schemas, and standards across a complex data estate

Establishing a stable, high-performance serving layer for analytics, visualisation, and data science workloads

Working closely with data scientists to remove bottlenecks and enable better modelling and experimentation

Pair-programming, mentoring, and raising the engineering bar for a small, capable team

You wont just be delivering features; youll be setting direction.

The tech youll work with

Core:Azure, Databricks, Python, SQL, dbt, MQTT

Storage & Serving:Delta Lake, Postgres, TimescaleDB

Modelling & ML:MLflow

Visualisation:Grafana

What makes you a great fit

Youre someone who can zoom out to architecture and zoom in to code, comfortably.

Proven experience building and owning data platforms on Azure

Deep, hands-on knowledge of Databricks(lakehouse architecture, cluster management, performance and cost optimisation)

Strong opinions on data modelling, schema design, and standardisation

You treat data pipelines as software: version control, CI/CD, automated testing

Comfortable challenging architectural decisions, and explaining why

Able to translate technical trade-offs into business impact for non-technical stakeholders

A mentor by nature: you raise the team through pairing, guidance, and example

Industry experience

Experience with industrial, sensor-driven, or time-series data is highly desirable

Alternatively, background in high-volume or highly variable data environments (missing data, duplicates, schema drift, spiky load) will transfer well

Why youll want this role

Real autonomy:Youre trusted to make architectural calls, thats why youre being hired

Visible impact:Your work directly unlocks better analytics and machine learning outcomes

Modern problems:Youll work on advanced data patterns and architectures, not cosmetic refactors

Still technical:This is a leadership role without stepping away from code

What youll get

5 weeks paid holiday plus bank holidays

Tax-efficient stock options

Company pension scheme

Salary sacrifice EV scheme

Training and professional development support

Regular all-hands sessions with real transparency

Hybrid working (2 days in person)

Quarterly employee recognition awards

Access to discounts via BrightHR

We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

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