Posted on Fri Jan 2026
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.
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.
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
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
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.
Connor delivers bespoke recruitment services in technology and transformation, adapting to diverse client requirements with a focus on finding the right match. His commitment to thoroughly understanding the unique challenges of each client enables him to offer customised and effective recruitment solutions.
