Are you a Data Engineer who wants to build the data foundations of an elite sports organisation
If you're strongest when you're turning messy scripts into reliable pipelines, automating workflows, and designing cloud data systems that people actually trust then this role could be for you..
This is a
core hire within a 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 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