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- 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 passion 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 England 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 England
✨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 England
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 the game and how it connects to your technical skills.
Highlight Your Technical Skills: Make sure to clearly outline your experience with Python and cloud technologies like AWS. We want to see how your skills can contribute to our innovative insights in tennis analytics, so don’t hold back!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Backend Engineer role. Show us why you’re the perfect fit for our dynamic team.
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 this exciting opportunity in sports technology!
How to prepare for a job interview at Ellipse
✨Know Your Tech Stack
Make sure you’re well-versed in Python and cloud technologies like AWS. Brush up on your knowledge of database management and API deployment, as these will likely come up during technical questions.
✨Show Your Passion for Sports
Since this role is all about sports analytics, be prepared to discuss your favourite sports and how data can enhance the experience. Share any personal projects or insights you've developed related to sports to demonstrate your enthusiasm.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges or problem-solving scenarios during the interview. Practice common algorithms and data structures, and think through your approach out loud to show your thought process.
✨Engage with the Interviewers
Don’t just answer questions; engage with your interviewers. Ask them about their current projects or challenges they face in sports analytics. This shows your interest in the company and helps you gauge if it’s the right fit for you.
