Data Engineer/Scientist

Leeds United; Leeds; On-site; GBP 40,000 - 60,000; Full time

Job summary

Leeds United's Football Department is seeking a skilled individual to develop data infrastructure for enhancing decision-making in areas like analysis and recruitment. The role focuses on building robust data pipelines and ensuring effective data handling compliant with policies. Candidates should possess strong technical skills in SQL, Python, and experience with cloud infrastructure, delivering strategies for improved performance and equity within the club.

Qualifications

• Professional experience in data analysis, data science or data engineering.
• Good knowledge of various data types in professional sports.
• Understanding of how to integrate data for strategic decisions.

Responsibilities

• Maintain and build data pipelines for models and tools.
• Develop central data storage and integrate new data sources.
• Create a standardised data layer across various data types.

Skills

SQL

Python

Data Analysis

Data Science

Data Engineering

AWS

CI/CD

GitHub Actions

Job description

How to apply: Complete the online applications form using this link: https://forms.office.com/e/FxFGZgxmXy

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 Responsibilities

1. 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.
2. Data Ingestion: Further develop our central data storage and integrate new data sources.
3. Data Standardisation: Leverage SQL to create a standardised layer across our various data types to allow for efficient and scalable data science and analysis.
4. Data Synchronisation: you will enhance integrations between event and tracking datasets.
5. Metric Development: you will develop player and team metrics from our event-tracking models.

Other Responsibilities

To take responsibilities for personal performance and the development of personal skills to ensure the required skills, knowledge and competence to fulfil the role. Perform duties with due regard to Club policies and procedures and legislative requirements at all times. Act as an ambassador for equity and inclusion, championing the Clubs commitment and action plan. Recognise and appropriately challenge incidents of racism, bullying, harassment, sexual harassment or victimisation and any form of abuse of equal opportunities, ensuring compliance with relevant policies and procedures. Ensure implementation of the Club’s health & safety, safeguarding, welfare and equality policies to create a safe working environment for all. Undertake continuous professional development (CPD) training and/or additional training as identified or as required. Ensure working practices are compliant with relevant legislation and data protection legislation and/or general data protection regulations (GDPR) requirements.

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

Essential

• 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).