Data Engineer – Python / SQL / Azure / Databricks

Location: Southampton, Hampshire

Job Type: Permanent, Full-Time

Salary: Competitive + Excellent Benefits

An exciting opportunity has arisen for a talented Data Engineer to join a leading organisation.

You will play a key role in developing and enhancing a modern, cloud-based data platform, helping to transform how data is collected, managed and utilised across the business.

Working within a high-performance environment, you will help deliver innovative data solutions that support performance analytics, operational efficiency and strategic decision-making.

This is a fantastic opportunity for a hands-on Data Engineer who enjoys taking ownership of technical solutions and wants to work with cutting-edge data technologies.

• 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.

• 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.

• Experience with Azure DevOps.
• Knowledge of AI-driven automation and data pipeline monitoring.
• Experience working with large, complex datasets.
• Exposure to sports analytics, performance data, GPS tracking or similar datasets.
• Experience collaborating with Data Scientists and analytics teams.

• Competitive salary and comprehensive benefits package.

• 26 days' annual leave plus bank holidays and your birthday off.

• Contributory pension scheme.

• Health and wellbeing initiatives.

If you're a passionate Data Engineer with strong Python, SQL and cloud data platform experience, we'd love to hear from you.