Data Engineer – Python / SQL / Azure / Databricks

Salary: £40,000 - 45,000 per year

• Strong commercial experience in Data Engineering, particularly developing data pipelines using Python.
• Excellent SQL skills and a solid understanding of database design and data modelling.
• Experience working with cloud-based data platforms, ideally Microsoft Azure and/or Databricks.
• Knowledge of ETL/ELT processes and data integration techniques.
• Understanding of data governance, security and quality standards.
• Experience with version control and CI/CD practices.
• Strong analytical, problem-solving and communication skills.
• Desirable: Experience with Azure DevOps.
• Desirable: Knowledge of AI-driven automation and data pipeline monitoring.
• Desirable: Experience working with large, complex datasets.
• Desirable: Exposure to sports analytics, performance data, GPS tracking or similar datasets.
• Desirable: Experience collaborating with Data Scientists and analytics teams.

• Design, develop and maintain scalable data pipelines using Python and SQL.
• Build and enhance a cloud-based enterprise data platform using Azure and Databricks.
• Develop robust data integration processes to support analytics, reporting and business intelligence.
• Ensure data quality, governance, security and compliance with relevant regulations.
• Undertake database administration activities, including performance optimisation, indexing and access management.
• Explore and develop AI-driven automation to monitor data pipelines and improve operational efficiency.
• Utilise Azure DevOps for version control, development workflows and collaboration.
• Work closely with Data Scientists, analysts and other stakeholders to deliver effective data solutions.
• Troubleshoot technical issues and continuously improve platform performance and reliability.

• AI
• Azure
• Business Intelligence
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Support
• Python
• SQL
• Security

More:

We are seeking a hands-on Data Engineer to join a leading organisation in Southampton, Hampshire. This is a permanent, full-time role focused on developing and enhancing a modern, cloud-based data platform that supports performance analytics, operational efficiency and strategic decision-making. We offer a competitive salary and comprehensive benefits package, including 26 days of annual leave plus bank holidays and your birthday off, a contributory pension scheme, and health and wellbeing initiatives.

last updated 43 week of 2026