At a Glance
- Tasks: Join a team to develop cutting-edge data solutions in commodities trading.
- Company: A global boutique firm leading the way in renewable energy trading.
- Benefits: Competitive salary, medical insurance, and extensive training opportunities.
- Other info: Dynamic environment with a focus on innovation and sustainability.
- Why this job: Make a real impact on the future of energy while advancing your career.
- Qualifications: 7+ years in data engineering with expertise in Python and financial markets.
The predicted salary is between 100000 - 140000 € per year.
We’re searching for a Senior Data Engineer with experience in a Cap Markets/Commodities environment to join a London based team operating on the cutting edge with their proprietary trading tech. They are 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.
This is a role geared towards those highly skilled in data scraping, parsing, extraction and automation with knowledge of the SDLC, with experience in a trading environment.
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:
- 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. Master Pandas library.
- Experience with Analytical / Time-series databases (e.g. Redshift, Clickhouse).
- Cloud and devops experience (AWS).
The reward: Impactful projects await 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 £100,000- £140,000 depending on experience.
- Medical, dental and life insurance.
- External and internal training.
Front Office Data Engineer in London employer: ANSON MCCADE
Join a pioneering commodities firm in London that is not only at the forefront of trading technology but also plays a crucial role in promoting renewable energy adoption. With a strong emphasis on employee development, you will benefit from extensive training opportunities and a collaborative work culture that values diverse technical backgrounds. This is more than just a job; it's a chance to contribute to impactful projects while enjoying competitive compensation and comprehensive benefits.
StudySmarter Expert Advice🤫
We think this is how you could land Front Office Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the commodities and trading sectors. Attend industry events or webinars to meet potential employers and get your name out there. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to commodities or financial markets. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, data scraping, and cloud technologies. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you a better chance of landing that dream job in the front office data engineering space.
We think you need these skills to ace Front Office Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Senior Data Engineer. Highlight your experience in Cap Markets and Commodities, and don’t forget to showcase your skills in data scraping and automation. We want to see how your background aligns with our cutting-edge trading tech!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about renewable energy and how your experience can contribute to our mission. Keep it concise but impactful – we love a good story that connects your journey to our goals.
Showcase Relevant Projects:If you've worked on any projects related to data engineering or trading applications, make sure to highlight them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, especially with tools like Python and Pandas. Don’t hold back!
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. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in areas like data scraping and parsing. Be ready to discuss specific projects where you've used Python and the Pandas library, as well as any experience with analytical databases like Redshift or Clickhouse.
✨Understand the Trading Environment
Familiarise yourself with the commodities market and front office applications. Being able to speak knowledgeably about how your work impacts trading decisions will show that you’re not just a techie but also understand the business side of things.
✨Showcase Your Cloud Skills
Since cloud and DevOps experience is crucial for this role, be prepared to discuss your experience with AWS. Highlight any projects where you've implemented cloud solutions and how they improved efficiency or performance.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could be about the company's approach to renewable energy or how they see the future of data engineering in trading. It shows you're genuinely interested and engaged with their mission.
