At a Glance
- Tasks: Build and manage data pipelines to support our data science teams in football analytics.
- Company: Football Radar, a blend of start-up agility and established business security.
- Benefits: Generous holiday, health perks, learning budgets, and performance bonuses.
- Other info: Engaging work environment with fun team activities and personal growth opportunities.
- Why this job: Join a dynamic team making impactful decisions in the world of football.
- Qualifications: Experience with SQL, Python, and cloud platforms; strong problem-solving skills.
The predicted salary is between 36000 - 60000 £ per year.
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 data pipelines to ensure data is up-to-date, reliable, and easily accessible. In practice you will be working on things like:
- Automating pipelines for importing and updating data from third party sources
- Building smaller and more manageable datasets from larger, more cumbersome datasets
- Deploying models and batch computations to the cloud to generate interesting new datasets to analyse
- 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 cloud approach
- Managing and monitoring cloud databases and other cloud infrastructure
What we are 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
- Some experience with SQL and relational databases
- 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 in the cloud, 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
Data Engineer in London employer: Football Radar
Football Radar is an exceptional employer that combines the innovative spirit of a start-up with the stability of an established business, making it an ideal place for a Data Engineer to thrive. With generous benefits such as 33 days of holiday, private medical insurance, and a strong focus on employee development through learning budgets, we foster a collaborative work culture that encourages personal growth and team engagement. Located in a dynamic environment, our commitment to well-being and performance bonuses further enhances the rewarding experience of working with us.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Football Radar. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This gives you a chance to demonstrate your problem-solving abilities and technical know-how.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled challenges in past projects, especially around data management and cloud solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data engineering shine through! We want to see how your skills and experiences align with our mission at Football Radar. Share specific examples of projects you've worked on that demonstrate your problem-solving abilities and technical know-how.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight relevant experience with SQL, Python, and cloud platforms like AWS. We love seeing candidates who take the time to connect their background to what we do, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and why you’d be a great fit for our teams.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Football Radar!
How to prepare for a job interview at Football Radar
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines, especially in relation to cloud platforms like AWS. Be ready to discuss your experience with automating data imports and how you've tackled challenges in previous projects.
✨Showcase Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities. Think of specific instances where you identified a challenge in a data project and how you proposed a solution. This will demonstrate your proactive approach, which is key for the role.
✨Brush Up on SQL and Python
Since SQL and Python are crucial for this position, make sure you're comfortable discussing your experience with both. You might be asked to solve a problem or write a simple query, so practice beforehand to show off your skills.
✨Understand the Company’s Focus
Familiarise yourself with Football Radar's work in statistical models and betting advice. Being able to discuss how your skills can contribute to their goals will show that you're genuinely interested in the company and the role.
