Data Engineer in Southampton, United Kingdom

Salary: £40,000 - 45,000 per year Requirements:

• At least 2–3 years commercial experience in a Data Engineering role
• Strong hands-on programming experience with Python and SQL
• Experience developing and maintaining data pipelines and data processing workflows
• A good understanding of data architecture, data transformation and data management principles
• Ability to work independently, investigate technical challenges and recommend practical solutions
• Experience working with technical stakeholders, particularly Data Scientists or analytics teams
• A proactive mindset and confidence to challenge existing approaches and suggest improvements
• Strong communication skills and willingness to share technical knowledge
• An Enhanced DBS check is required; we can put the successful candidate through this process
• Desirable: commercial experience with Databricks
• Desirable: exposure to large-scale data processing and cloud-based data platforms
• Desirable: experience working with event data, tracking data or other complex datasets
• Desirable: a relevant degree or postgraduate qualification in Computer Science, Data Engineering, Mathematics or a related discipline
• Desirable: an interest in sport, performance analytics or the application of data in professional sporting environments

• Design, develop and maintain reliable data pipelines and processes that support sports analytics and performance activities
• Use Python and SQL to process, transform and manage complex datasets
• Support and develop our growing Databricks environment, improving the scalability and efficiency of our data platform
• Manage and integrate performance data sources, including event data and tracking information
• Work closely with Data Scientists to provide accurate, reliable and well-structured data
• Identify opportunities to improve existing data processes, introduce automation and increase operational efficiency
• Take technical ownership of data engineering challenges and recommend solutions and best practices
• Help develop our data engineering capabilities as analytical requirements evolve
• Contribute to technical decisions about data architecture, infrastructure and future technologies

• Cloud
• Databricks
• Support
• Python
• SQL

More:

We are recruiting an experienced Data Engineer for a leading professional sports organisations growing Data Science team. Our established team of Data Scientists is passionate about using data to support smarter decisions across performance analysis, player tracking and advanced analytics. We are investing in our data capabilities, and this role offers the opportunity to influence how we manage increasingly complex data, recommend improvements and help shape our future data strategy. Previous experience in sport is not essential; we are looking for someone with the technical ability, initiative and enthusiasm to make a difference.

last updated 44 week of 2026