Data Engineer

Are you a Data Engineer who wants to build the data foundations of an elite sports organisationIf 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 mattersData 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 deployedHow reliable, production-ready data supports performance insightsHow multiple football data sources are unified into one trusted platformYou’ll have real ownership, visibility, and influence over how the data function evolves.What you’ll be responsible forBuilding, testing, and maintaining cloud-based ETL pipelines on AWS, ingesting data from APIs, web sources, and internal systems into SnowflakeRefactoring and optimising Python and SQL workflows for speed, reliability, and scalabilityAutomating pipelines and maintaining CI/CD, Git-based version control, and deployment standardsImproving data modelling, storage efficiency, schema design, and partitioning to support scalable analysisSupporting the development of internal data tools and applications (e.g. Streamlit, Dash, or React-based apps)Integrating structured data with video and performance workflowsActing as the technical point of contact for external data providersMaintaining strong data governance, security, and GDPR-compliant practicesWhat we’re looking forThis role suits someone who is hands-on, curious, and comfortable owning production systems.Strong Python with demonstrable SQLExperience building and maintaining AWS-based data pipelines (Lambda, S3, Glue, Step Functions or similar)Experience working with SnowflakeExperience with CI/CD and GitComfortable working closely with analysts across multiple departments2+ years’ experience in a data engineering (or similar) roleNice to have:Experience with football or sports datasetsExperience with RExperience building data models for reporting toolsFamiliarity with GDPR and data governance best practiceThe environmentWorking closely with analysts, data scientists, and performance staffStrong personalities, high standards, and a genuine interest in the gameA culture that values being progressive, humble, determined, bright, and unified

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