Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop tools and systems for traders in the exciting world of sports betting.
- Company: Dynamic sports betting technology firm based in London.
- Benefits: Performance-based bonuses, 30 days annual leave, and learning support.
- Why this job: Join a fast-paced industry and make an impact with your coding skills.
- Qualifications: 2-4 years of Python development experience and strong OOP skills.
- Other info: Great opportunity for career growth in a vibrant environment.
The predicted salary is between 36000 - 60000 £ per year.
A sports betting technology firm in London is seeking a Python Engineer to develop tools and systems for traders. The successful candidate will have 2-4 years of experience in Python development and must be able to write clean, maintainable, and well-structured code using OOP.
Responsibilities include:
- Building data pipelines
- Troubleshooting data quality issues
- Analyzing sports betting data
This position offers a performance-based bonus scheme, learning and development support, and 30 days of annual leave.
Python Engineer: Sports Betting Data & Trading Tools in England employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Engineer: Sports Betting Data & Trading Tools in England
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting tech scene on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Python Engineer role.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool projects that highlight your Python prowess, especially in OOP and data pipelines. This way, when you apply through our website, you can share your work and impress the hiring team.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to tackle real-world problems related to sports betting data. We recommend practicing common algorithms and data structures to ace those coding challenges.
✨Tip Number 4
Don’t forget to follow up! After your interview, shoot a quick thank-you email to express your appreciation. It shows enthusiasm and keeps you fresh in their minds as they make their decision. Remember, we’re rooting for you!
We think you need these skills to ace Python Engineer: Sports Betting Data & Trading Tools in England
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially if you've built tools or systems before. Don't forget to mention any OOP principles you've applied!
Keep It Clean and Structured: Just like we value clean code, we appreciate a well-structured application. Use clear headings, bullet points, and concise language to make your skills and experiences stand out. This shows us you can communicate effectively, which is key for a Python Engineer.
Tackle Data Challenges: Since the role involves building data pipelines and troubleshooting, share specific examples of how you've handled data quality issues in the past. We love seeing problem-solving skills in action, so don't hold back on the details!
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 don’t miss out on any important updates. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Venture Up
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around OOP principles. Be ready to discuss your previous projects and how you wrote clean, maintainable code. Practising coding challenges can also help you demonstrate your problem-solving abilities during the interview.
✨Understand the Sports Betting Landscape
Familiarise yourself with the sports betting industry and the specific tools used in trading. Being able to discuss current trends or challenges in the sector will show your genuine interest and help you stand out as a candidate who is not just technically skilled but also knowledgeable about the field.
✨Prepare for Data Pipeline Questions
Since building data pipelines is a key responsibility, be prepared to explain your experience with data processing and troubleshooting data quality issues. Think of examples where you successfully resolved data-related problems and be ready to walk through your thought process.
✨Show Enthusiasm for Learning and Development
This role offers learning and development support, so express your eagerness to grow and learn new technologies. Share any relevant courses or certifications you've completed, and discuss how you plan to continue developing your skills in Python and data analysis.
