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For Companies At a Glance
- Tasks: Build and manage data pipelines to ensure reliable and accessible data for analysis.
- Company: Football Radar, a dynamic mix of start-up agility and established business security.
- Benefits: Generous holiday, health perks, learning budgets, and performance bonuses.
- Other info: Opportunities for growth and leadership roles for experienced candidates.
- Why this job: Join a passionate team and make an impact in the world of football analytics.
- Qualifications: Proficiency in Python, problem-solving skills, and some experience with SQL.
The predicted salary is between 50000 - 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. 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
Our success relies on innovative data science and statistical modelling, and your role as a data engineer will be to help support and accelerate that function by taking ownership of the data pipelines to ensure our 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
Requirements
We are looking for smart, ambitious people who are naturally curious, eager to learn, and enjoy solving challenging problems in a dynamic environment. We are open to candidates from early career to experienced data engineers. The following are the core skills we would expect all candidates to meet:
- A good level in Python
- 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
- 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
For senior candidates
More experienced candidates will have the opportunity to take on more responsibility, leading projects and making key decisions about our architecture. We are looking for candidates who can take key technical decisions and think strategically about where we should focus our efforts. In addition to the requirements above, this means you also bring:
- An ability to make strategic decisions about pipelines and priorities
- Extensive experience of deploying and monitoring data engineering solutions within AWS, and a strong knowledge of AWS fundamentals
- Experience with a wide range of data engineering tools and technologies
- Experience of managing cloud infrastructure costs
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 WPA, 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 employer: Football Radar
Contact Detail:
Football Radar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Football Radar or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. It’s a great way to demonstrate your Python and data pipeline prowess.
✨Tip Number 3
Prepare for technical challenges! Brush up on your SQL and cloud knowledge, especially AWS. We love seeing candidates who can tackle real-world problems on the spot.
✨Tip Number 4
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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any cloud platforms like AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving data pipelines or cloud infrastructure. This gives us a glimpse of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for data engineering and your eagerness to join our team. Share why you're excited about working with us at Football Radar and how you can contribute to our success.
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 to join our team!
How to prepare for a job interview at Football Radar
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data Football Radar works with. Brush up on your knowledge of statistical models and data pipelines, as well as any relevant tools like Python and SQL. Being able to discuss specific examples of how you've worked with data in the past will show your expertise.
✨Show Off Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you tackled them. Think about times when you had to make quick decisions or prioritise tasks. This will demonstrate your ability to think on your feet and adapt to a dynamic environment, which is key for a data engineer.
✨Familiarise Yourself with AWS
Since Football Radar uses AWS extensively, it’s a good idea to brush up on your cloud knowledge. If you have experience with similar platforms, be ready to explain how that translates to AWS. Highlight any projects where you’ve deployed data solutions in the cloud.
✨Be Ready to Collaborate
Collaboration is crucial in this role, so think of examples where you’ve worked closely with software engineers or data scientists. Be prepared to discuss how you can contribute to a team environment and ensure a consistent development approach, as this will resonate well with the interviewers.