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Are you a Data Engineer who wants to build the data foundations of an elite football club?

If you're strongest when you're turning messy scripts into reliable pipelines, automating workflows, and designing cloud data systems that people actually trust - this role will feel like a step up, not a sideways move.

This is a core hire within a Football Data Team, working day-to-day with performance analysts, data scientists, and technical staff across the first team. You'll own key data pipelines, shape how data is engineered long term, and build systems that directly support on-pitch decision-making.

Why this role matters

Data is moving from isolated analysis into core football operations.

This role sits at the centre of that shift. You won't just maintain pipelines - you'll help define:

How data is ingested, modelled, and deployed

How reliable, production-ready data supports performance insights

How multiple football data sources are unified into one trusted platform

You'll have real ownership, visibility, and influence over how the data function evolves.

What you'll be responsible for

Building, testing, and maintaining cloud-based ETL pipelines on AWS, ingesting data from APIs, web sources, and internal systems into Snowflake

Refactoring and optimising Python and SQL workflows for speed, reliability, and scalability

Automating pipelines and maintaining CI/CD, Git-based version control, and deployment standards

Improving data modelling, storage efficiency, schema design, and partitioning to support scalable analysis

Supporting the development of internal data tools and applications (e.g. Streamlit, Dash, or React-based apps)

Integrating structured data with video and performance workflows

Acting as the technical point of contact for external data providers

Maintaining strong data governance, security, and GDPR-compliant practices

What we're looking for

This role suits someone who is hands-on, curious, and comfortable owning production systems.

Essential experience:

Strong Python with demonstrable SQL

Experience building and maintaining AWS-based data pipelines (Lambda, S3, Glue, Step Functions or similar)

Experience working with Snowflake

Experience with CI/CD and Git

Comfortable working closely with analysts across multiple departments

2+ years' experience in a data engineering (or similar) role

Nice to have:

Experience with football or sports datasets

Experience with R

Experience building data models for reporting tools

Experience developing internal data applications

Familiarity with GDPR and data governance best practice

The environment

A collaborative, in-person football environment

Working closely with analysts, data scientists, and performance staff

Strong personalities, high standards, and a genuine interest in the game

A culture that values being progressive, humble, determined, bright, and unified

Safeguarding, equality, and inclusion are central to how the organisation operates, and full training and support will be provided