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- Tasks: Build and maintain ETL pipelines for a cutting-edge sports trading data platform.
- Company: Join a leading global quant firm with a vibrant start-up culture.
- Benefits: Enjoy a competitive salary, career progression, and free meals.
- Why this job: Solve complex technical challenges in a fast-paced, dynamic environment.
- Qualifications: Experience with Python, Linux, and large datasets required.
- Other info: Ideal for driven individuals focused on innovation and market trends.
The predicted salary is between 72000 - 120000 £ per year.
Salary: up to £200k + bonus
Leading global quant firm is looking for a pragmatic data engineer with experience of ETL pipelines to join the quantitative sports trading team. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office couples the lively, positive environment of a start-up with the stability of a longer-established player.
Collaborating extensively with technologists and quantitative analysts, you will be responsible for evolving, improving and maintaining all aspects of the sports trading data platform, covering everything from building a world-class data backbone and creating and maintaining ETL pipelines, to identifying ways to improve reliability, efficiency and data quality. Technology is prized by the traders as crucial to their continued success.
The successful Data Engineer will be passionate about solving difficult technical problems in a fast-paced and energetic environment. If you're a driven, dynamic individual with an unvarying focus on staying ahead of the ever-changing markets, this role would be perfect for you.
Requirements:
- Significant experience with Python and development in a Linux environment
- Experience of working with large datasets
- Deep knowledge of the DMBS landscape
- Experience of building and maintaining ETL pipelines
NB: Please do not apply if you are a fresh graduate.
Benefits:
- Competitive base salary
- Career progression supported
- Free breakfast, lunch and dinner
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Data Engineer in England employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and Linux skills, and be ready to tackle technical questions. Practice makes perfect!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are keen on joining us. It shows initiative and enthusiasm!
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL pipelines, Python, and working in a Linux environment. We want to see how your skills match what we're looking for!
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 sports trading team. Keep it concise but impactful.
Showcase Relevant Projects: If you've worked on any projects that involved large datasets or building data pipelines, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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 keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Oxford Knight
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and Linux environment knowledge. Be ready to discuss your experience with ETL pipelines and large datasets in detail. The interviewers will want to see how you can apply your technical expertise to solve real-world problems.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of challenging technical problems you've faced and how you tackled them. This role is all about evolving and improving data platforms, so demonstrating your analytical thinking and creativity will set you apart.
✨Understand the Business Context
Familiarise yourself with the sports trading industry and how data plays a crucial role in it. Showing that you understand the bigger picture will impress the interviewers and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technology stack they use, and their approach to data quality and reliability. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
