At a Glance
- Tasks: Transform large sports datasets into engaging insights and graphics for fans and professionals.
- Company: Ellipse, a leader in sports data and analytics, working with top broadcasters and teams.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects across various sports.
- Why this job: Join a dynamic team at the forefront of sports analytics and make an impact.
- Qualifications: 3+ years in Python, experience with cloud solutions, and a passion for sports.
The predicted salary is between 36000 - 60000 € per year.
Ellipse is an industry leader in the collection, analysis and dissemination of live sports performance data. Our goal is to engage a diverse audience with new stories about the sports we love. We create products and services across cricket, football, horse racing, rugby and tennis that enrich the experience of fans, athletes, and teams worldwide. Our data is a central component of media coverage, betting operations, athlete feedback and coach decision-making in some of the biggest competitions.
With ambitious growth plans, we are looking to recruit a Software Engineer (Backend) to join us at the cutting edge of sports analytics. If you enjoy transforming large datasets into unique statistics that tell a compelling story—engaging everyone from professional players to casual fans—this role is for you!
Responsibilities- Work directly with our team of tennis experts to develop new innovative insights and graphics used by players, coaches, commentators and more.
- Work with internal and external stakeholders to design, develop and deploy the APIs used by broadcasters and rights holders.
- Manage our central database and lead research into new technologies and approaches to optimise our data architecture.
- Build and maintain robust ETL pipelines for multiple internal and external sources.
- Monitor data quality for accuracy and completeness.
- Collaborate with the data science team on feature engineering, model deployment and monitoring.
- At least 3 years experience in Python or similar language and experience with Flask or a similar framework.
- Experience working with a cloud solution (AWS, Google Cloud, Azure, Oracle, Snowflake, etc) but particularly AWS data services.
- Experience working with complex relational databases and SQL.
- Experience with ETL systems and data modelling.
- Experience developing and deploying scalable APIs.
- Familiarity with Linux server environments and working with the command line.
- Strong written communication skills both technical and non-technical.
- Strong interest and knowledge in a variety of sports in particular tennis.
- Experience working with sports data.
- Familiarity with a version control system e.g. Git, and standard code repository workflows & processes.
- Experience with writing unit/integration tests.
- Experience working with and developing CI/CD pipelines.
- Experience with message broker technologies such as Redis, Kafka etc.
- Experience with Docker and Kubernetes or equivalent.
Ellipse is a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval Insights, Stuart Farmer Media Services) and TennisViz. Working with the world’s biggest broadcasters, professional teams and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love.
Software Engineer (Back end) in London employer: Ellipse
Ellipse is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. As a Software Engineer (Back end), you will have the opportunity to work at the forefront of sports analytics, contributing to projects that engage millions of fans and athletes worldwide. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Back end) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports data industry, especially those at Ellipse. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, APIs, or sports data. This is your chance to shine and demonstrate how you can contribute to our team.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and understanding of sports analytics. We love candidates who can talk about both their coding skills and their passion for sports!
✨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 at Ellipse.
We think you need these skills to ace Software Engineer (Back end) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Engineer (Back end) role. Highlight your experience with Python, Flask, and any cloud solutions you've worked with. We want to see how your skills match our needs!
Showcase Your Projects:Include any relevant projects or experiences that demonstrate your ability to work with complex databases and APIs. If you've built ETL pipelines or worked with sports data, let us know! We love seeing practical examples of your work.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're passionate about sports data and analytics. Share your enthusiasm for the role and how you can contribute to our team at Ellipse. Make it personal and engaging!
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’s super easy—just follow the prompts!
How to prepare for a job interview at Ellipse
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Flask, and any cloud solutions like AWS. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects. Being able to talk about specific examples will show your expertise.
✨Show Your Passion for Sports
Since the role is all about sports data, it’s crucial to express your enthusiasm for sports, especially tennis. Share any relevant experiences or insights you have about the sports industry, as this will resonate with the interviewers and demonstrate your fit for the company culture.
✨Prepare for Technical Questions
Expect to face technical questions related to ETL processes, API development, and database management. Practise explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. This will highlight your strong communication skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, challenges they face in data analytics, or how they envision the future of sports data. This shows you’re engaged and thinking ahead.
