Python Engineer — Sports Data Backend & Pipelines
Python Engineer — Sports Data Backend & Pipelines

Python Engineer — Sports Data Backend & Pipelines

Full-Time 40000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • 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 - 50000 £ 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 employer: Smartodds Limited

Smartodds Limited is an exceptional employer, offering a dynamic work environment in North London where innovation thrives. With a strong focus on employee growth and development, team members benefit from extensive training opportunities and a collaborative culture that encourages creativity and problem-solving. The company also provides excellent benefits, making it an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
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Contact Detail:

Smartodds Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Engineer — Sports Data Backend & Pipelines

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 projects, especially those involving data pipelines or API development. 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 related to Python and data structures. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key when you're solving problems on the spot!

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 back-end solutions and sports data analysis to catch our eye.

We think you need these skills to ace Python Engineer — Sports Data Backend & Pipelines

Advanced Python Knowledge
API Development
Data Pipeline Development
Back-End Solutions
Collaboration Skills
Process Optimisation
Production-Grade Software Development
Computer Science Degree

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 and cover letter. Tailor your application to the job description. Mention your experience with API development and how it relates to sports data analysis. We love seeing candidates who take the time to connect their skills to our needs!

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!

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 ensure it reaches the right people. Plus, it shows you’re serious about joining our team!

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 specific projects where you've used Python to develop data pipelines or back-end solutions. Having concrete examples will show your expertise and how you can contribute to their sports data analysis.

Familiarise Yourself with APIs

Since API development is a key part of the role, take some time to review your experience with APIs. Be prepared to explain how you've designed or integrated APIs in past projects. This will demonstrate your technical knowledge and problem-solving abilities.

Research Smartodds Limited

Get to know Smartodds Limited and their approach to sports data analysis. Understanding their products and services will help you tailor your answers and show that you're genuinely interested in the company and its mission.

Prepare Questions for Them

Interviews are a two-way street, so think of insightful questions to ask about the team dynamics, growth opportunities, and the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Python Engineer — Sports Data Backend & Pipelines
Smartodds Limited

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