Software Engineer

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.

You will need to come with a good knowledge of the sports analytics/betting industry to be considered for this role, * 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.
• A keen interest in American sports (NFL, NBA, MLB, NHL, NCAAB, NCAAF), Cricket, Tennis or Soccer.
• Experience working with Data Scientists and Data Engineers.

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.