Data Engineer | Wolves FC

Data Engineer | Wolves FC (Jobs in Sports Performance Analysis)

Job purpose. We are recruiting for a skilled and enthusiastic Data Engineer to join our expanding Football Data Team as we look to drive long-term success within the club. You will report to the Head of Data, taking ownership of the ongoing development of the club’s data pipelines, working with Data Scientists to build out innovative new tools and optimise our existing infrastructure.

You will collaborate across all departments within the first team, helping them to solve their unique data challenges and deliver high-quality, production-ready solutions.

This role will allow a self-motivated, curious worker to mould an elite football club’s data stack to their vision, and support in developing tools that have real impact on the club’s on-pitch performance.

Build, test and maintain cloud-based ETL pipelines on AWS to ingest data from APIs, web sources and internal systems into Snowflake

Automate and optimise existing Python and SQL workflows for speed and reliability

Maintain clear documentation, Git-based version control and automated deployment pipelines so data used across the club is consistent and trustworthy

Improve data storage efficiency and modelling to support scalable analysis, including schema optimisation and partitioning

Aid development of internal applications (Streamlit, Dash or React-based) to bring multiple data sources and tools into one central location

Integrate structured data with video sources to support validation and richer analysis

Oversee data governance and GDPR-compliant security practices across pipelines

To follow and enforce best practice in relation to Safeguarding policies and processes including, but not limited to reporting procedures.

To work alongside the Safeguarding Team and Designated Safeguarding Leads to ensure safeguarding standards are met and maintained.

General responsibilities

Compliance with Club policies

Compliance with the Club’s health and safety procedures

Compliance with the Club’s safeguarding policies

To promote the Club’s values of progressive, humble, determined, bright and unified

To work consistently to embed equality & diversity into the Club

To undertake such other duties as may be reasonably expected

To maintain professional conduct at all times

Safeguarding We are committed to safeguarding and promoting the welfare of children, young people and adults  expect all those associated with WWFC to share this commitment. This means that the post-holder is required to apply all relevant policies and uphold the Club’s commitment to safeguarding children, young people and adults at risk.

Equality, Diversity, and Inclusion

The post holder will demonstrate a strong commitment to equality, diversity, and inclusion, supporting the organisation’s strategic aims to remove barriers and address inequality. You will play an active role in promoting an inclusive, discrimination-free environment that ensures fair access to opportunities and resources. This includes fostering a culture of dignity, respect, and belonging where everyone is empowered to contribute, perform, and reach their full potential.

Key relationships

Internal

Head of Data (line management, priorities, technical direction)

Performance Insights analysts/data scientists (requirements, delivery, support)

Support to other first-team departments on automation and delivery

External

Data providers / third-party vendors (technical contact, troubleshooting, access)

Scope of job. This role will work alongside the Performance Analysis team to enhance our existing practices, assisting our data and insights team. The Data Engineer will own and maintain core first-team data pipelines and warehouse layers and take responsibility for reliability, documentation, and deployment of production data and tools.

Knowledge: the level and breadth of knowledge to do the job e.g. understanding of a defined system, method or procedure, legal or regulatory frameworks etc.

Experience building and maintaining pipelines in AWS (Lambda, S3, Glue, Step Functions or similar) and Snowflake

Experience with CI/CD and version control (Git/Git Hub)

E…