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 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 £100,000- £140,000 depending on experience.
- Medical, dental and life insurance.
- External and internal training.
Front Office Data Engineer 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. With a strong emphasis on employee development and a collaborative work culture, this boutique company offers competitive salaries, comprehensive health benefits, and opportunities for continuous learning, making it an exceptional place for skilled data engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Front Office Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the commodities and trading sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨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 potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data scraping, parsing, and automation. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Front Office Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Senior Data Engineer in a Cap Markets/Commodities environment. Highlight your experience with data scraping, parsing, and automation, as well as any relevant projects that showcase your skills in trading applications.
Showcase Your Technical Skills:We want to see your proficiency in scripting languages like Python and your experience with analytical databases. Don’t forget to mention your familiarity with the Pandas library and any cloud or DevOps experience you have, especially with AWS.
Highlight Relevant Experience:If you've got 7+ years in data engineering roles, make it shine! Focus on your background in commodities or financial markets, and how your previous roles have prepared you for this position. We love seeing how your past experiences align with our mission.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Plus, it shows 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, parsing, and extraction. 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 their approach to renewable energy in trading or how they see the future of data engineering in their firm. It shows you're genuinely interested and engaged with their mission.
