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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 in London 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 in London
✨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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve built any cool data pipelines or worked with time-series databases, create a portfolio or a GitHub repo. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of financial datasets and trading analytics. We want to see you shine when discussing how you can impact 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 take that extra step.
We think you need these skills to ace Hybrid Contract Data Engineer — Algorithmic Trading in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in commodities trading and working with large financial datasets. 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! Use it to explain why you’re passionate about algorithmic trading and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since this role involves building scalable data pipelines, make sure to mention any specific technologies or tools you’ve used. We love seeing hands-on experience with time-series databases and data platforms!
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’re considered for the role. Plus, it’s super easy!
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 engineering, especially in the context of commodities trading. Be prepared to discuss your experience with time-series databases and how you've handled large financial datasets in the past.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some real-world scenarios related to building scalable data pipelines. Think about challenges you've faced in previous roles and how you overcame them, as this will demonstrate your ability to think critically under pressure.
✨Understand the Trading Landscape
Familiarise yourself with the current trends in algorithmic trading and how data plays a role in decision-making. This knowledge will not only impress your interviewers but also show that you're genuinely interested in the field and the impact of your work.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data platforms and their trading analytics processes. This shows that you're engaged and eager to understand how you can contribute to their global trading programme.