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- Tasks: Build and maintain data pipelines for real-time trading models.
- Company: Leading sports betting software company in London with a dynamic culture.
- Benefits: Competitive salary, bonuses, and excellent benefits.
- Why this job: Join a talented team and work on cutting-edge data architectures.
- Qualifications: 4+ years experience in Python, SQL, and streaming technologies.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 42000 - 84000 £ per year.
A leading sports betting software company in London is looking for an experienced Data Engineer to build and maintain data pipelines. You will collaborate with a talented team of researchers and engineers to implement real-time data architectures for trading models.
The ideal candidate has over 4 years of experience, proficient in Python, SQL, and streaming technologies like Kafka.
This role offers a competitive salary, bonuses, and excellent benefits while working in a dynamic environment.
Low-Latency Data Engineer for Trading & Research employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Data Engineer for Trading & Research
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies you admire. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any projects you've worked on. This is your chance to demonstrate your expertise in Python, SQL, and streaming technologies like Kafka.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to solve problems on the spot. Practising with real-time data scenarios will help you shine during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Low-Latency Data Engineer for Trading & Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and streaming technologies like Kafka. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering 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 the world of data engineering, problem-solving is key. Include examples in your application that demonstrate how you've tackled challenges in past roles. We’re keen to see your thought process and how you approach complex issues.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Venture Up
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and streaming technologies like Kafka. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach building a data pipeline for real-time trading models and be ready to explain your thought process clearly.
✨Collaborate and Communicate
Since you'll be working with a team of researchers and engineers, highlight your experience in collaborative environments. Share examples of how you've effectively communicated complex ideas to non-technical stakeholders.
✨Research the Company Culture
Familiarise yourself with the company's values and work culture. This will help you tailor your answers to show that you're not just a fit for the role, but also for the team. Mention any specific projects or initiatives of theirs that resonate with you.
