Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise real-time market data solutions for trading strategies.
- Company: Global energy trading company based in London with a dynamic culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a vibrant team at the intersection of engineering and trading.
- Qualifications: 8+ years in Commodity Trading and experience with Databricks and Kafka.
- Other info: Collaborate closely with traders and analyse financial datasets.
The predicted salary is between 54000 - 84000 £ per year.
A global energy trading company in London seeks a hands-on Python Engineer with strong business-facing skills. This hybrid role requires designing and optimizing real-time market data solutions that support trading strategies.
The ideal candidate should have 8+ years in Commodity Trading and experience with tools like Databricks and Kafka. Work involves collaborating with traders to deliver data services and analyzing financial datasets.
The position offers an energetic environment at the intersection of engineering and trading.
Senior Python Engineer & Trading Data Analyst (Hybrid) in London employer: Eaglecliff
Contact Detail:
Eaglecliff Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer & Trading Data Analyst (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those related to trading data solutions. We want to see how you’ve tackled real-time data challenges and optimised trading strategies.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and familiarising yourself with tools like Databricks and Kafka. We recommend doing mock interviews to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who can bring their expertise to our energetic environment.
We think you need these skills to ace Senior Python Engineer & Trading Data Analyst (Hybrid) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world scenarios, especially in trading or data analysis. Don't hold back on those projects that showcase your coding prowess!
Talk About Your Trading Experience: Since this role is all about energy trading, let us know about your 8+ years in the field. Share specific examples of how you've contributed to trading strategies or optimised market data solutions. We love a good story that connects your skills to our needs!
Collaboration is Key: This position involves working closely with traders, so make sure to mention any collaborative projects you've been part of. We want to see how you communicate and work with others to deliver data services. Teamwork makes the dream work, right?
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. Plus, it shows us you're keen to join our energetic team!
How to prepare for a job interview at Eaglecliff
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of real-time data processing. Be prepared to discuss specific projects where you've used Python to solve complex problems, particularly in trading or financial datasets.
✨Understand the Trading Landscape
Familiarise yourself with commodity trading and the tools mentioned in the job description, like Databricks and Kafka. Being able to speak knowledgeably about how these tools can optimise trading strategies will impress your interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with traders, be ready to share examples of how you've successfully collaborated with business teams in the past. Highlight any experiences where your technical solutions directly supported trading decisions.
✨Prepare for Technical Challenges
Expect some technical questions or coding challenges during the interview. Practise solving problems related to data analysis and real-time data solutions, as this will demonstrate your hands-on experience and problem-solving abilities.
