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- Tasks: Build scalable data pipelines and maintain high-performance data platforms for trading analytics.
- Company: Join a leading commodities trading business in London with a dynamic team.
- Benefits: Hybrid work model, competitive pay, and the chance to impact global trading.
- Other info: Exciting opportunity to work with large financial datasets in a fast-paced environment.
- Why this job: Make a real difference in a global trading programme while developing your skills.
- Qualifications: Experience in commodities trading and familiarity with time-series databases required.
The predicted salary is between 60000 - 80000 £ per year.
X4 Technology is seeking a Contract Data Engineer in London to join a leading commodities trading business. This role involves building scalable data pipelines and maintaining high-performance data platforms for trading analytics.
Candidates should have:
- A solid background in commodities trading
- Familiarity with time-series databases
- Experience working with large financial datasets
The position is hybrid and offers an opportunity to significantly impact a global trading program.
Hybrid Contract Data Engineer — Algorithmic Trading employer: X4 Technology
Contact Detail:
X4 Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Contract Data Engineer — Algorithmic Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. This is your chance to demonstrate your expertise with time-series databases and large financial datasets.
✨Tip Number 3
Prepare for interviews by brushing up on algorithmic trading concepts. Be ready to discuss how your experience aligns with building scalable data platforms and how you can contribute to their global trading program.
✨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 are proactive about their job search!
We think you need these skills to ace Hybrid Contract Data Engineer — Algorithmic Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and time-series databases. We want to see how your background in commodities trading aligns with the role, so don’t hold back on those relevant details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithmic trading and how your skills can contribute to our global trading program. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for someone who can handle large financial datasets like a pro. Be sure to mention any specific tools or technologies you’ve used in your previous roles that relate to data engineering and analytics.
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 regarding the position!
How to prepare for a job interview at X4 Technology
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and time-series databases. Be ready to discuss specific projects where you've built or maintained these systems, as well as the challenges you faced and how you overcame them.
✨Understand the Commodities Trading Landscape
Familiarise yourself with the current trends and challenges in commodities trading. Being able to speak intelligently about the market will show that you're not just a tech whiz but also understand the business side of things.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Brush up on your SQL skills and be prepared to solve problems on the spot. Practising coding challenges related to data engineering can give you an edge.
✨Showcase Your Impact
Think about how your previous work has made a difference in your past roles. Be ready to share examples of how your contributions improved data performance or analytics, especially in a financial context. This will help demonstrate your potential impact on their global trading programme.