Software Engineer

OTA Recruitment; England; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A tech-driven company in the UK is hiring a Software Engineer to join their Modelling & Data Engineering team. The role focuses on developing advanced pricing systems for the sports industry. Ideal candidates will have solid experience with .NET frameworks, SQL, and familiarity with AWS technologies. You'll be responsible for writing scalable code, designing new tooling, and implementing new methods to drive business improvements. This position offers flexibility with hybrid working arrangements and a competitive salary package.

Qualifications

• Experience in sports analytics or betting.
• Proficiency in .NET Framework, especially .NET 5 or higher.
• Knowledge of SQL and relational databases.

Responsibilities

• Write clean, scalable code using .NET programming.
• Design and build tooling for business modeling.
• Implement new technologies and design patterns.

Skills

Experience working within sports analytics / betting

Experience working on the .Net Framework (particularly .NET 5+)

Familiarity with SQL

Experience using Kafka or equivalent

Experience with Redis

Experience with AWS (k8s, EKS, S3, etc.)

Experience with GIT

Systems integration experience

Strong problem-solving skills

Excellent communication skills

Job description

Software Engineer (C# .Net)

Salary: £55k-£75k (plus very attractive bonus on top)

Location: London or Leeds (hybrid / remote options also available)

Company description

We are a proprietary sports pricing and product provider, specializing in the development of intricate, simulation-driven pricing and risk systems that empower leading sports brands. As pioneers in player-level, play‑by‑play simulations and forecasting, we deliver the group’s most advanced pricing and risk capabilities - particularly focused on the US market.

Job description

As a Software Engineer within our Modelling & Data Engineering team, you will be working in a fast paced, delivery focused environment, playing a critical role in helping a young and fast‑growing company to improve processes and drive the implementation of new Models & Technologies. You will be leading requirements analysis and process improvement, supporting business case development, project implementation, testing and following up on benefits realization.

What you will do

• Write clean, scalable code using .NET programming languages.
• Work on Greenfield Projects to help design and build a wide span of tooling to facilitate the Modelling of the business.
• Be a part of the team responsible for collecting and processing data needed to empower the models.
• Drive the implementation of new technologies and establish design patterns to reduce technical debt and improve application performance and maintainability.
• Work closely with other areas of the Modelling & Data Engineering department to manage the tooling life cycle and delivery.

Qualifications

Essential:

• Experience working within sports analytics / betting.
• Experience working on the .Net Framework as a Software Engineer, particularly .NET 5+.
• Familiarity with SQL and experience working with relational databases.
• Experience using Kafka or equivalent distributed event store and stream‑processing platform.
• Experience working with Redis or equivalent in memory storage.
• Experience working with AWS k8s, EKS, S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch.
• Experience with concurrent development source control (GIT).
• Systems integration experience with networking, data migrations, API integration and design.
• Enthusiasm for clean systems, including documentation, logging, and reproducibility.
• Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously.
• Strong problem‑solving skills with a pragmatic and analytical outlook.

Desirable:

• A keen interest in American sports (NFL, NBA, MLB, NHL, NCAAB, NCAAF), Cricket, Tennis or Soccer.
• Experience working with Data Scientists and Data Engineers.