Data Engineer (Junior or Mid)

Houston Texans; London; On-site; GBP 40,000 - 80,000

Job description

About the Company

Football Radar have been successfully developing statistical models and analytical frameworks for football for over 10 years. We provide advice to football clubs, and we are also a leading provider of betting advice, where we have helped our clients achieve outstanding returns for over 10 years. We see ourselves as an interesting mix of start-up and established business, with the agility of the former and the security of the latter.

About The Role

At Football Radar we have two small data science teams. A prediction team, focused on the betting and prediction side of our business; and a club consultancy team, developing models and products to help decision making within football clubs. Your role as a data engineer will be to help support these teams, by taking ownership of the importing, organisation and transformation of data from different sources to make sure it’s always up-to-date and easily accessible. In practice you will be working on things like:

• Automating pipelines for importing and updating data from third party sources
• Transforming existing data into more accessible formats
• Building smaller and more manageable datasets from larger, more cumbersome datasets
• Helping improve the speed and reliability of our ETL process and the quality of data available to our data scientists
• Collaborating with our software engineering and data science teams to make sure we have a consistent development and operations approach
• Managing and monitoring cloud databases and other cloud infrastructure

What We’re Looking For

• An ability to make pragmatic and sensible choices about what approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible
• Strong problem solving skills, with an ability to proactively identify challenges and propose solutions
• Experience with SQL and relational databases, including query optimisation
• A decent level of Python
• Familiarity with AWS or another similar cloud platform (we use AWS for almost everything, and prior experience with AWS is a bonus, but not essential if you have experience with a similar platform and similar tools).
• Experience building data pipelines, and awareness of best practices

What we offer

• Half yearly bonus opportunities based on company performance

• 33 days holiday (Including bank holidays)

• Competitive contribution matched pensions

• Health and well-being benefits:

  • Private Medical Insurance (including excess coverage)
  • Health Cash Plan via Bupa
  • Subsidised gym membership

• Daily subsidised office meals

• Learning and development budgets to invest in your personal growth

• Company and team led engagement activities throughout the year

• Fortnightly five-a-side game amongst colleagues