Senior Software Engineer

We're looking for a Senior Software Engineer to join the Modelling & Data Engineering group at a rapidly expanding sports-technology business. This is a hands-on role in a fast-moving environment where you'll help shape new modelling tools, improve existing systems, and contribute to the technical foundations that support the company's growth. What you'll be working on

• Developing high-quality, maintainable software using .NET technologies.
• Taking ownership of greenfield initiatives, designing and building internal tools that support the company's modelling capabilities.
• Helping to gather, process and structure the data that powers the modelling pipeline.
• Introducing new technologies, improving architectural patterns and reducing technical debt to enhance performance and maintainability.
• Collaborating closely with colleagues across the Modelling & Data Engineering function to manage the full lifecycle of internal tooling.

• A degree in a STEM discipline (Computer Science preferred), or equivalent demonstrable programming ability.
• Certifications or training aligned with the company's core tech stack (e.g., .NET, AWS).
• Strong programming fundamentals, including data structures, performance-focused development, design patterns and SOLID principles.
• Commercial experience working with .NET (ideally .NET 5+).
• Good SQL knowledge and at least one year working with relational databases.
• Experience with distributed streaming platforms such as Kafka.
• Familiarity with in-memory storage solutions like Redis.
• Hands-on experience with AWS services such as S3, Athena, ECS, CloudFormation, Lambda and CloudWatch.
• Confident using Git in a multi-developer environment.
• Background in systems integration, including APIs, networking and data migration.
• A commitment to producing clean, well-documented, reproducible systems.
• Strong communication, organisation and time-management skills, with the ability to work independently or as part of a team.
• Analytical mindset and strong problem-solving ability.

Desirable

• Interest in US sports (NFL, NBA, MLB, NHL, NCAAB, NCAAF), Cricket, Tennis or Football.
• Experience collaborating with Data Scientists or Data Engineers.
• Comfort with mathematical concepts such as probability, statistics and matrix operations.

Additional notes While experience with C# is preferred, candidates with a strong Java background and relevant industry exposure - or a clear personal interest in betting, gaming or US sports - will also be considered.

My client is a specialist provider of sports pricing and trading technology, developing advanced simulation-based models and risk tools that underpin the performance of major sports brands.