Data Engineer

English Football League Β· Middlesbrough

  • Not stated by the employer
  • Full time
  • Posted 14 months ago
Apply on English Football League's site

This is an exciting opportunity to join a newly established Data & Analytics department at Middlesbrough Football Club.

We are looking for a talented and motivated Data Engineer to help build and develop the Club's modern data platform. Working closely with the Head of Data, you will play a key role in developing scalable data solutions that support decision-making across football and business operations.

This position offers the opportunity to work with a wide range of data sources and technologies while helping shape the Club's approach to data engineering, governance and analytics.

THE ROLE:

  • Develop, maintain and optimise ETL/ELT pipelines from internal and external systems into the Club's central cloud data platform.
  • Support the development and maintenance of a modern data Lakehouse architecture using Microsoft Fabric and Azure technologies.
  • Design and implement efficient data models, databases and schemas to support reporting, analytics and future machine learning initiatives.
  • Ensure data engineering solutions are secure, reliable and compliant with GDPR and organisational data governance policies.
  • Support the migration of legacy reporting and data solutions into the Club's modern data platform.
  • Monitor, troubleshoot and improve data pipelines to ensure high levels of performance and reliability.
  • Work closely with analysts and stakeholders to understand requirements and deliver data solutions that meet business needs.
  • Contribute to the development of engineering standards, documentation and best practices across the department.
  • Assist with the development and maintenance of semantic models used for reporting and self-service analytics.
  • Support data quality, validation and testing processes to ensure trusted and accurate data is available across the organisation.
  • Stay up to date with developments in Microsoft Fabric, Azure and modern data engineering practices.

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