Junior Software Engineer (C# .Net)
Salary: £40-50k (plus very attractive guaranteed bonus on top)
Location: London or Leeds (one day a week in the office, if preferred)
*Please only apply if you have a strong interest in sports analytics and/or sports betting
Purpose of role:
We have an exciting opportunity for a Software Engineer to join our rapidly expanding Sports Analytics company based in London Bridge. As a Junior 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.
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 an interest in Programming skills in the areas of data structures, and high-performance computing, by using Design Patterns and SOLID Principles.
Skills and competencies:
- Experience (1+ year) working on the .Net Framework as a Software Engineer, particularly .NET 5+.
- Mathematics skills such as dealing with matrices, probabilities, and statistics.
- Familiarity with SQL and experience (1+ year) working with relational databases.
- Experience (1+ year) using Kafka or equivalent distributed event store and stream-processing platform. •
- Experience (1+ year) working with Redis or equivalent inmemory storage.
- Experience (1+ year) working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch.
- Experience (1+ year) with concurrent development source control (GIT).
- Systems integration experience (1+ year) 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.