Software Engineer (modelling and data engineering team)

Salary: £40-60k (plus very attractive guaranteed bonus on top)

Location: Offices in London and Leeds but can work remotely

My client is a data driven sports forecasting business specialising in odds generation, trading & risk management.

Purpose of role:As a Software Engineer within the 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.

Key responsibilities:

• 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.

Experience and knowledge:

Demonstrate over two years’ experience of Programming skills in the areas of data structures, and high-performance computing, by using Design Patterns and SOLID Principles.

Skills and competencies:

• 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 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, Tennis or Soccer).
• Experience working with Data Scientists and Data Engineers.