Senior Python Market Data Engineer & Trader-Facing Analyst
Senior Python Market Data Engineer & Trader-Facing Analyst

Senior Python Market Data Engineer & Trader-Facing Analyst

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • 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 employer: Eaglecliff Recruitment

Join a leading global energy trading company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the trading landscape. With a strong focus on employee growth, you will have access to continuous learning opportunities and career advancement in a fast-paced environment. Enjoy the benefits of a hybrid work model, competitive compensation, and the chance to work alongside industry experts in a thriving sector.
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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

✨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 for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those related to market data solutions. This will give potential employers a taste of 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 noticed. Plus, we’re always looking for talented individuals like you to join our team.

We think you need these skills to ace Senior Python Market Data Engineer & Trader-Facing Analyst

Python
Market Data Solutions
Data Pipeline Design
Analytical Functions Development
Collaboration with Traders
Commodity Trading Knowledge
Business-Facing Skills
High-Performance Computing

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. We love seeing candidates who can connect their technical skills with business-facing abilities.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in market data solutions. We’re looking for hands-on experience, so share specific instances where you’ve made an impact!

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 this exciting opportunity in the energy trading sector!

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 ready to discuss your experience with data pipelines and analytical functions, as these are key aspects of 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.

✨Prepare for Business-Facing Scenarios

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. Be ready to explain how you can bridge the gap between technical solutions and business needs.

✨Show Enthusiasm for Career Growth

This position offers excellent career growth opportunities, so express your eagerness to develop within the company. Share your long-term goals and how they align with the company's vision, demonstrating that you're not just looking for a job, but a place to grow.

Senior Python Market Data Engineer & Trader-Facing Analyst
Eaglecliff Recruitment
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