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

Responsibilities:

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

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

Data Engineer

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