Firinne Solutions
Junior Software & Data Engineer - Sports Technology
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Our client is an established sports data analytics business, creating powerful statistical models with huge value across sports performance, wellbeing, betting and other industries.
They are looking for a technically minded and practically capable Junior Software & Data Engineer to join their team with a focus around advancing their sports betting solutions. This role would suit a recent graduate or early-career candidate who enjoys solving real-world technical problems, working across different technologies, and understanding how complete systems operate. You will work across software development, data, cloud infrastructure and live sports systems.
Key Responsibilities
- Develop, test and maintain software using technologies such as Python, Go and TypeScript.
- Work with sports data, including processing, analysing and validating live and historical datasets.
- Assist with the development and operation of cloud-based systems and services.
- Investigate bugs, system failures and unexpected data or application behaviour.
- Write and maintain SQL queries and work with relational databases.
- Build, run and troubleshoot containerised applications using Docker.
- Monitor application and infrastructure performance.
- Support integrations between internal systems, APIs, databases and third-party data providers.
- Contribute to technical design discussions and help identify practical, maintainable solutions.
- Understand how individual components interact as part of a wider production system.
- Produce clear documentation for systems, processes and technical decisions.
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Essential Skills and Experience
- A degree in a technical or numerate subject, such as:
- Computer Science
- Information Technology
- Mathematics
- Physics
- Engineering
- Data Science
- Another related discipline
- A good understanding of operating systems, computer infrastructure and how software runs in real-world environments.
- An understanding of programming principles and experience with at least one programming language.
- Exposure to Python, Go or a TypeScript-based technology stack.
- Knowledge of databases and the ability to write basic SQL queries.
- Strong debugging, analytical and problem-solving skills.
- The ability to break down unfamiliar problems and investigate them methodically.
- A practical mindset and an interest in understanding the complete system rather than focusing only on one isolated component.
- A reasonable understanding of sport and an interest in how technology and data can be applied within sports.
- Good written and verbal communication skills.
Desirable Skills
- Knowledge of Amazon Web Services, particularly services such as EC2, ECS, S3, RDS, Lambda and CloudWatch.
- Experience using Docker or other containerisation technologies.
- Personal, academic or professional data science projects.
- Experience working with APIs, live data feeds or WebSockets.
- Familiarity with Linux or command-line environments.
- Experience using Git and collaborative software development workflows.
- Knowledge of data analysis libraries such as pandas, NumPy or similar tools.
- An understanding of statistics, probability or predictive modelling.
- Experience with cloud infrastructure, networking or application deployment.
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What They Are Looking For
You should be able to look beyond an individual piece of code and consider the wider picture, including:
- Where data comes from and where it goes.
- How applications communicate with each other.
- How software is deployed and operated.
- What happens when part of a system fails.
- How to identify the underlying cause of a problem.
- Whether a proposed solution will work reliably in a production environment.
Examples of personal projects, university projects, internships, technical hobbies or practical problem-solving experience are highly valued.
What We Offer
- Exposure to software engineering, data science and cloud infrastructure.
- The opportunity to work with live sports systems and real-world data.
- The chance to take ownership of meaningful technical projects.
- Opportunities to develop skills across Python, Go, TypeScript, AWS, SQL and Docker.
- A role with broad technical exposure.
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