Data Engineer - Scalable Azure Platform & AI Pipelines

PFSA Education Ltd.

Southampton

Hybrid

GBP 65,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Two free tickets for every home league
26 days' holiday + bank holidays + own
Contributory pension
Worldwide travel insurance for you and
Free parking
Cycle to work scheme

Job summary

Southampton FC is seeking a hands-on Data Engineer to own and develop the club's cloud data platform at Staplewood Campus, Southampton. You will build pipelines for performance analytics, ensure data quality and governance, and support recruitment, opposition analysis and sports science.

The role involves leading the platform's technical build, database administration, and Azure DevOps workflows, with collaboration across coaches, data scientists, and staff.

Qualifications

  • Experience building scalable data pipelines in Python.
  • Strong SQL and data modelling skills.
  • Experience with cloud data platforms, ideally Azure and Databricks.
  • Understanding of data privacy, governance and quality standards.
  • Able to work with teams across the club.

Responsibilities

  • Lead the technical build and configuration of the football data platform.
  • Build and maintain data pipelines for performance analytics and reporting.
  • Look after data quality, governance and data protection compliance.
  • Carry out database administration, including performance tuning, indexing, backups and user access.
  • Develop AI agents to monitor pipelines for quality and reliability.
  • Manage code and version control in Azure DevOps.
  • Work with Data Scientists and the sports science and coaching staff, and document the platform.

Skills

Python data pipelines
SQL
Azure Databricks
Azure DevOps
Data governance & privacy
Team collaboration
GPS data familiarity

Tools

Azure DevOps

Job description

Southampton FC is seeking a hands-on Data Engineer to own and develop the club's cloud data platform at Staplewood Campus, Southampton. You will build pipelines for performance analytics, ensure data quality and governance, and support recruitment, opposition analysis and sports science.

The role involves leading the platform's technical build, database administration, and Azure DevOps workflows, with collaboration across coaches, data scientists, and staff.

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