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- Tasks: Develop data pipelines and back-end solutions for sports data analysis.
- Company: Smartodds Limited, a dynamic tech company in North London.
- Benefits: Excellent employee benefits and extensive growth opportunities.
- Other info: Exciting work environment with opportunities for career advancement.
- Why this job: Join a supportive team and make an impact in sports data technology.
- Qualifications: Advanced Python skills, API development experience, and a relevant degree.
The predicted salary is between 40000 - 55000 £ per year.
Smartodds Limited is looking for a Python Engineer based in North London. The role involves developing data pipelines and back-end solutions to support high-quality sports data analysis. You'll collaborate closely with a supportive team to optimize processes and deliver production-grade software.
Essential skills include:
- Advanced Python knowledge
- API development
- A relevant degree in computer science
The position offers a dynamic work environment with extensive growth opportunities and excellent employee benefits.
Python Engineer — Sports Data Backend & Pipelines in London employer: Smartodds Limited
Contact Detail:
Smartodds Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer — Sports Data Backend & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports data and Python engineering space. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines or APIs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so practice makes perfect!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Python and data analysis, and let us know why you’re excited about the role!
We think you need these skills to ace Python Engineer — Sports Data Backend & Pipelines in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your advanced Python knowledge in your application. We want to see how you've used Python in real projects, especially in developing data pipelines or back-end solutions.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to the job description. Mention your experience with API development and any relevant projects that showcase your skills in sports data analysis.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Smartodds Limited
✨Know Your Python Inside Out
Make sure you brush up on your advanced Python skills before the interview. Be ready to discuss your experience with data pipelines and back-end solutions, as well as any specific projects you've worked on that showcase your expertise.
✨Familiarise Yourself with APIs
Since API development is a key part of the role, take some time to review how you've built or interacted with APIs in the past. Be prepared to explain your approach and any challenges you faced, as this will show your problem-solving skills.
✨Showcase Your Team Spirit
Collaboration is crucial in this role, so think of examples where you've worked closely with a team. Highlight how you contributed to optimising processes and delivering quality software, as this will demonstrate your ability to fit into their supportive environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company culture, growth opportunities, and the specific technologies they use. This not only shows your interest in the role but also helps you gauge if it's the right fit for you.