Data Engineer/Scientist

Organisation Leeds United FC Salary Up to £55,000 per annum Location Elland Road Stadium, Elland Road, Leeds, LS11 0ES Contract type Permanent (Full time) Closing date 6 June 2025 Job Description Role Summary
The Football Department at Leeds United is working to leverage data to enhance decision making from analysis and recruitment to performance and medicine. We are looking for an individual to build robust pipelines to create a data infrastructure ready for data science modelling and to support our football platform.

Role Responsibilties
• Data Pipelines & Infrastructure: working with our Football Data Platform Lead, you will maintain and build data pipelines that serve our models, tools and central platform.
• Data Ingestion: Further develop our central data storage and integrate new data sources
• Data Standardisation: Leverage SQL to create a standardised layer across our various data types to allow for efficient and scalable data science and analysis.
• Data Synchronisation: you will enhance integrations between event and tracking datasets
• Metric Development: you will develop player and team metrics from our event-tracking models

Required Relevant Experience
• Professional experience in data analysis, data science or data engineering
• Have a good knowledge and experience of the various types of data sources in professional sport (event, tracking, scouting notes, grading, wearable technology and testing data) and understand how it can be integrated to make strategic and operational decisions.


Required Technical Skills
• You have in-depth knowledge of SQL and Python to build, monitor and maintain data pipelines
• Experience with cloud infrastructure (e.g. AWS Lambda, S3, EC2, API Gateway, Airflow, Redshift).
• Familiarity with CI/CD tools and version control systems (e.g., GitHub Actions).
• You have an understanding of Infrastructure as Code (e.g. CloudFormation)
• Interest in developing analytical skills using polars, pandas or SQL
• Experience working with cloud infrastructure (e.g. AWS Lambda).