At a Glance
- Tasks: Shape the future of renewable energy through data engineering and AI innovation.
- Company: Boutique global commodities firm making a real impact on energy trading.
- Benefits: Competitive salary, comprehensive insurance, and extensive training opportunities.
- Other info: Dynamic environment with opportunities for career-defining growth.
- Why this job: Join a mission-driven team and lead impactful projects in a cleaner energy transition.
- Qualifications: 7+ years in data engineering with expertise in Python and financial markets.
The predicted salary is between 150000 - 175000 € per year.
This is a specialist name in commodities, known for the impact they have had on the adoption of renewable energy, making this mean much, much more than just your next data role in trading. The role is focused on shaping you into a genuine leader within their business while also sharpening your skills to include the emerging technologies. A massive focus is on building an AI taskforce- a side quest you could play a significant role in helping shape. With the right mix of experience, gravitas and technical skills, you could take advantage of this career-defining (and changing!) opportunity.
The company is a boutique but global commodities firm with a global presence. Their teams are highly technical from a range of different skilled backgrounds. Their platforms have been essential in spurring on the world’s adoption of renewable energy and much, much more.
The ideal person will have:
- 7+ years experience in data engineering roles, most recently working with traders on FO applications.
- Background in Engineering, Computer Science, Systems Analysis, Data Science, Information Systems, or commensurate experience.
- Experience with Commodities or Financial Markets (front office applications).
- Proficiency in scripting languages such as Python for Data Crawling, Parsing, etc.
- Mastery of the Pandas library.
The reward includes impactful projects at a company that has been instrumental in the advancement of energy trading in a world making its transition to a cleaner future. Beyond the skill-based benefits this opportunity offers, you will also receive:
- A salary of £150,000- £175,000 depending on experience.
- Medical, dental and life insurance.
- External and internal training.
Interested? Reach out to the team at Anson McCade to find out more or apply to this position on LinkedIn.
Senior Data Engineer- Pricing/Commodities in London employer: ANSON MCCADE
As a leading boutique commodities firm, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through extensive training opportunities and the chance to engage in impactful projects that drive the renewable energy transition. Join us in a role that not only enhances your technical skills but also positions you as a leader in shaping the future of energy trading.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer- Pricing/Commodities in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data engineering and AI. This is your chance to shine and demonstrate how you can contribute to their mission.
✨Tip Number 3
Be ready for the interview! Research the company’s impact on renewable energy and think about how your background in commodities and financial markets fits into their vision. Tailor your answers to show you’re the perfect match.
✨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 to connect with us directly.
We think you need these skills to ace Senior Data Engineer- Pricing/Commodities in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience in data engineering, especially with traders and front office applications. We want to see how your background aligns with the company's focus on commodities and renewable energy.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples where you've used Python, the Pandas library, or any other relevant technologies. We love seeing how you’ve applied your technical skills in real-world scenarios.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for renewable energy and how you can contribute to the AI taskforce. We’re looking for genuine enthusiasm and a clear understanding of the role’s impact on the business.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get you on board!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Inside Out
Make sure you’re well-versed in your data engineering experience, especially with front office applications. Brush up on your knowledge of commodities and financial markets, as this will show your understanding of the industry and how your skills can contribute to their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in scripting languages like Python and your mastery of the Pandas library. Consider bringing examples of past projects where you’ve used these skills, particularly in data crawling and parsing, to demonstrate your hands-on experience.
✨Emphasise Leadership Potential
Since the role focuses on shaping you into a leader, think about times when you’ve taken initiative or led a project. Be ready to share specific examples that highlight your ability to guide teams and influence outcomes, especially in technical environments.
✨Align with Their Vision for Renewable Energy
Research the company’s impact on renewable energy adoption and be prepared to discuss how you can contribute to their mission. Showing genuine interest in their projects and aligning your values with theirs can set you apart as a candidate who truly understands their vision.
