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- Tasks: Support data science teams by managing data pipelines and ensuring data reliability.
- 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: Enjoy team activities and a vibrant work culture with growth opportunities.
- Why this job: Join a dynamic team and make an impact in the football analytics world.
- Qualifications: Experience with SQL, Python, and cloud platforms; strong problem-solving skills.
The predicted salary is between 30000 - 42000 £ 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 (Mid Level) in London employer: Football Radar
Contact Detail:
Football Radar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Mid Level) 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! If you’ve got a portfolio or any projects related to data engineering, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical questions! Brush up on your SQL and Python skills, and be ready to discuss your experience with cloud platforms like AWS. We want to see how you tackle real-world problems.
✨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 our team.
We think you need these skills to ace Data Engineer (Mid Level) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer. Highlight your experience with SQL, Python, and any cloud platforms you've worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at Football Radar and how you can contribute to our data science teams. Keep it engaging and personal – we love a bit of personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re keen on seeing your thought process and how you approach problem-solving, especially when it comes to data pipelines and ETL processes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Football Radar
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, ETL processes, and cloud databases. Be ready to discuss specific projects where you've built or managed data pipelines, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. Football Radar values pragmatic solutions, so highlight instances where you made sensible choices between detail and speed, especially when shipping MVPs.
✨Familiarise Yourself with AWS
Even if you haven't worked directly with AWS, get a good grasp of its services and how they relate to data engineering. Mention any similar cloud platforms you've used and be ready to discuss how you can adapt your skills to AWS.
✨Collaborate and Communicate
Since the role involves working closely with data scientists and software engineers, think of examples that demonstrate your ability to collaborate effectively. Highlight your communication skills and how you've worked in cross-functional teams to achieve common goals.