Cross Atlantic Partners
Senior Engineer, Commodities Technology
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Engineer – Commodities Technology
Location: London
A leading global investment firm is looking for a Senior Data Engineer to join its Commodities Technology team. Sitting at the intersection of front-office trading and enterprise data engineering, you'll design and build the data platforms that power real-time trading decisions. This is a highly visible role where you'll work directly with traders, portfolio managers, and quantitative researchers, owning business-critical data systems in a fast-paced, low-latency environment.
What you'll be doing
- Design, build and maintain high-performance, low-latency data pipelines.
- Develop production-grade Python services and data engineering solutions.
- Own critical production systems, participating in an on-call rota and resolving live incidents.
- Work closely with front-office users to deliver reliable, high-quality data.
- Build and improve cloud-native, containerised data platforms.
- Drive engineering best practices through code reviews, testing and CI/CD.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we're looking for
- 5+ years' experience in Data Engineering with ownership of production systems.
- Expert Python development for production services and bespoke data pipelines.
- Strong SQL skills with experience in complex data modelling and optimisation.
- Experience building real-time or near real-time data pipelines.
- Commercial experience with Kafka, Kubernetes, and Docker.
- Strong understanding of Git, code reviews, CI/CD, and testing practices.
- Experience supporting business-critical production systems.
- Exposure to Apache Airflow is beneficial.
- Commodities or energy market experience (power, gas, oil, agriculture, or shipping) is advantageous but not essential.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why apply?
- Work directly alongside traders and quantitative researchers.
- Build systems that have a direct impact on trading performance.
- Join a collaborative engineering team focused on modern cloud-native technologies.
- Take ownership of business-critical platforms in a highly technical environment.
- Excellent compensation, bonus potential, and long-term career progression.
If you're an experienced Data Engineer looking to move into a high-performance front-office environment where your work directly influences trading, we'd love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location