Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative insights for tennis analytics and manage databases.
- Company: Leading sports analytics company in the UK with a passion for sports.
- Benefits: Competitive salary, flexible work environment, and opportunities to work with cutting-edge technology.
- Why this job: Join a dynamic team and engage audiences from professional players to casual fans.
- Qualifications: Experience in Python, cloud technologies like AWS, and a love for sports.
- Other info: Be at the forefront of sports technology and enjoy excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports analytics company in the UK is seeking a Backend Software Engineer to join their team. This role involves developing innovative insights for tennis analytics, managing databases, and deploying APIs for broadcast partners.
Ideal candidates will have experience in Python, cloud technologies like AWS, and be passionate about sports. Join a dynamic team at the forefront of sports technology where your work will engage audiences from professional players to casual fans.
Backend Engineer for AI-Driven Sports Analytics in London employer: Ellipse
Contact Detail:
Ellipse Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer for AI-Driven Sports Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports analytics field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud tech. This is your chance to demonstrate your passion for sports and tech.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI in sports analytics. Be ready to discuss how you can contribute to innovative insights and database management.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our dynamic team.
We think you need these skills to ace Backend Engineer for AI-Driven Sports Analytics in London
Some tips for your application 🫡
Show Your Passion for Sports: When you're writing your application, let your love for sports shine through! Mention any relevant experiences or projects that showcase your enthusiasm for tennis or sports analytics. We want to see how you connect with the industry!
Highlight Your Technical Skills: Make sure to clearly outline your experience with Python and cloud technologies like AWS in your application. We’re looking for someone who can hit the ground running, so don’t be shy about showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for this specific role. Reference the job description and align your skills and experiences with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in joining our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be on your way!
How to prepare for a job interview at Ellipse
✨Know Your Tech Stack
Make sure you brush up on your Python skills and any cloud technologies, especially AWS. Be ready to discuss your previous projects and how you've used these tools to solve problems or create innovative solutions.
✨Show Your Passion for Sports
Since this role is all about sports analytics, it’s crucial to convey your enthusiasm for sports. Share any personal experiences or insights you have about tennis or other sports, and how they relate to the technology you’ll be working with.
✨Prepare for Technical Questions
Expect some technical questions that will test your backend engineering skills. Practice coding challenges and be prepared to explain your thought process. This will show your problem-solving abilities and how you approach complex tasks.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the company’s vision for sports analytics, or how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
