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- Tasks: Design data pipelines and develop analytical functions for market data solutions.
- Company: Join a leading global energy trading company with a dynamic work culture.
- Benefits: Enjoy excellent career growth opportunities in a fast-paced sector.
- Why this job: Make an impact by delivering high-performance solutions in commodity trading.
- Qualifications: 8+ years in Commodity Trading and strong Python proficiency required.
- Other info: Hybrid role with a focus on collaboration with traders.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency is seeking a hands-on Python Engineer to join a global energy trading company. This hybrid role requires strong business-facing skills and involves delivering high-performance market data solutions. The ideal candidate has 8+ years in Commodity Trading and must be proficient in Python.
Responsibilities include:
- Designing data pipelines
- Developing analytical functions
- Collaborating with traders
This position offers excellent career growth within a dynamic sector.
Senior Python Market Data Engineer & Trader-Facing Analyst in London employer: Eaglecliff Recruitment
Contact Detail:
Eaglecliff Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Market Data Engineer & Trader-Facing Analyst in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to market data solutions. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and business-facing skills. We recommend practising common interview questions and scenarios that relate to commodity trading and data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Python Market Data Engineer & Trader-Facing Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and commodity trading. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this hybrid role. Share specific examples of how you've delivered high-performance market data solutions in the past.
Showcase Your Business-Facing Skills: Since this role involves collaborating with traders, it’s important to demonstrate your business-facing skills. We love seeing candidates who can bridge the gap between technical and non-technical teams!
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 updates regarding your application status!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with data pipelines and analytical functions, as these are crucial for the role. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand the Commodity Trading Landscape
Familiarise yourself with the current trends and challenges in commodity trading. This will not only show your interest in the sector but also help you engage in meaningful conversations with the interviewers about how your skills can contribute to their business.
✨Showcase Your Business-Facing Skills
Since this role requires strong business-facing skills, think of examples from your past experiences where you've successfully collaborated with traders or other stakeholders. Highlight your ability to communicate complex technical concepts in a way that non-technical team members can understand.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask during the interview. Inquire about the company's approach to market data solutions and how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
