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- Tasks: Create innovative tools for sports betting and support traders with data insights.
- Company: Exciting hedge fund in London focused on sports betting technology.
- Benefits: Performance-based bonuses, 30 days holiday, and learning support.
- Why this job: Join a dynamic team and revolutionise the sports betting industry with your coding skills.
- Qualifications: 2-4 years of Python experience and knowledge of OOP and APIs.
The predicted salary is between 30000 - 50000 £ per year.
A sports betting hedge fund in London is seeking a Python Engineer to develop innovative solutions for the industry. The successful candidate will build internal tools supporting traders, maintain data pipelines, and communicate insights derived from sports betting data.
Must have:
- 2-4 years of Python experience
- Familiarity with OOP
- A basic understanding of APIs
This role offers a performance-based bonus scheme, learning support, and 30 days of holiday.
Python Engineer: Sports Betting Data & Trading Tools in London 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting and tech industry on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Python Engineer role.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your Python projects, especially those related to data handling or APIs. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the interview by brushing up on your OOP concepts and data pipeline management. We recommend practising common coding challenges and discussing your thought process out loud to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Engineer: Sports Betting Data & Trading Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your OOP knowledge and API familiarity!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports betting and how you can contribute to our team. We love seeing enthusiasm and a bit of personality in your application.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges using Python. We’re looking for innovative thinkers who can develop solutions, so let us know how you’ve done this in the past!
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 from 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 before the interview. Be ready to discuss your past projects and how you've used Python in real-world scenarios, especially in relation to data handling and APIs.
✨Understand the Sports Betting Landscape
Familiarise yourself with the sports betting industry and current trends. This will not only help you answer questions more effectively but also show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of OOP principles and API usage. Practise coding challenges or problems related to data pipelines to demonstrate your problem-solving skills during the interview.
✨Showcase Your Communication Skills
Since the role involves communicating insights from data, be prepared to explain complex concepts in simple terms. Practise articulating your thought process clearly, as this will be crucial when working with traders and other team members.
