Software Engineer

Have you graduated from a Russell Group with a Computer Science and have 2+ years experience developing using .Net and C#?

Do you enjoy working in an interesting and challenging environment?

Software Engineer - Sports Data

Salary: up to £85,000

Location: Hybrid in London (3 days a week)

Our longstanding partner, the official partner for all things data and technology, have reached back out to us as they are on the hunt for Software Engineers to join their team in powering the worldwide ecosystem that connects sports, finance, betting and the media.

You will have the opportunity to support their mission as they become a more sustainable sports data ecosystem benefiting all parties, from the rights holder through to the fans!

As a Software Engineer, you will develop experience with:

• C#, .Net, AWS, TDD
• Multithreading and synchronous programming
• Building highly-scalable, high throughput, low latency systems
• Understanding of system design
• Working in a fast-paced, pioneering modelling
• Exposure to quant, financial and risk modelling

This is a fantastic opportunity as a Software Engineer as you will gain exposure to working in an extremely high performant environment as you will be processing and providing data that is used to generate live odds in real time.

This team is formed from some of the best developers out there, so you will be constantly learning.

If you are keen to kickstart your career in software development, and would like to work for a prestigious company partnered with over 500 sports organisations around the world (including the NFL, NBA and Premier League), apply now to this unmissable Software Engineer position!

Please note: Due to compliancy reasons, we will only be able to consider applications based in and eligible to work in the UK.

Have you graduated from a Russell Group with a Computer Science and have 2+ years experience developing using .Net and C#?

Do you enjoy working in an interesting and challenging environment?, * C#, .Net, AWS, TDD

• Multithreading and synchronous programming
• Building highly-scalable, high throughput, low latency systems
• Understanding of system design
• Working in a fast-paced, pioneering modelling
• Exposure to quant, financial and risk modelling