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- Tasks: Build and maintain real-time data pipelines for an innovative horse racing team.
- Company: Leading software sports betting company based in London.
- Benefits: Lucrative salary and excellent benefits package.
- Why this job: Join a dynamic team and make an impact in the exciting world of sports betting.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills required.
- Other info: Collaborate with talented engineers and quantitative researchers in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading software sports betting company based in London is seeking a Senior Data Engineer to join their innovative horse racing team. You will collaborate with quantitative researchers and talented engineers to build and maintain data pipelines, ensuring efficient data integration from various sources.
The ideal candidate will have:
- 5+ years of experience in data engineering
- Strong skills in Python and SQL
- A background in implementing streaming data architectures
This role offers a lucrative salary and excellent benefits.
Senior Data Engineer: Real-Time Pipelines & Trading employer: Venture Up
Contact Detail:
Venture Up Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Real-Time Pipelines & Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in data engineering or at companies you admire. A friendly chat can open doors and give you insights that might just land you that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time data pipelines or streaming architectures. This is your chance to demonstrate your Python and SQL prowess in a way that a CV just can't.
✨Tip Number 3
Prepare for the interview like it’s the championship match! Research the company, understand their products, and be ready to discuss how your experience aligns with their needs. Don’t forget to think of questions to ask them too!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer: Real-Time Pipelines & Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Senior Data Engineer position and how your background in streaming data architectures makes you a perfect fit for our horse racing team.
Showcase Your Collaboration Skills: Since you'll be working closely with quantitative researchers and engineers, it’s important to highlight any teamwork experiences. We love seeing examples of how you’ve collaborated on projects 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 Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've implemented streaming data architectures, as this will show your hands-on experience and technical prowess.
✨Understand the Company’s Domain
Since the role is with a sports betting company, it’s crucial to familiarise yourself with the industry. Research how data engineering plays a role in real-time betting and horse racing analytics. This knowledge will help you connect your skills to their needs.
✨Prepare for Collaborative Scenarios
You’ll be working closely with quantitative researchers and engineers, so think of examples where you’ve successfully collaborated in the past. Be ready to discuss how you approach teamwork and problem-solving in a fast-paced environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about their current data pipelines and challenges they face. This not only shows your interest in the role but also gives you a chance to demonstrate your understanding of data integration and real-time processing.
