At a Glance
- Tasks: Design and maintain data pipelines, collaborating with traders to enhance trading strategies.
- Company: Leading global trading firm with a focus on innovation and collaboration.
- Benefits: Market-leading salary, catered meals, commuter perks, and a dynamic work environment.
- Other info: Exciting opportunities for growth in a technically sophisticated setting.
- Why this job: Join a cutting-edge team and make a real impact in the trading world.
- Qualifications: 2+ years of data engineering experience, expert in Python, and familiar with ETL/ELT tools.
The predicted salary is between 54000 - 84000 £ per year.
A leading global trading firm is seeking a Data Engineer to join their London office, working closely with many of their trading teams. This role sits within a team that focuses on building and maintaining mission-critical data infrastructure that supports trading and research strategies across commodities and macro markets.
What you'll be doing
- Designing and maintaining robust ETL/ELT pipelines for alternative and macroeconomic datasets
- Collaborating directly with traders and researchers to align data with trading strategies
- Building scalable and reliable data architectures
Who you are
- A data engineer with at least 2 years of experience, preferably in trading environments
- Expert in Python development and comfortable in DevOps/Linux environments
- Deep experience with data pipeline tools and frameworks (ETL/ELT)
What's on offer
- Market-leading compensation
- Catered breakfasts and lunches
- Commuter and parking benefits
- Opportunity to contribute to a highly dynamic and technically sophisticated environment
If you're a data engineer with strong Python skills and experience working with trading or research teams, we'd love to hear from you.
Data Engineer - Python - Quant Finance in London employer: Campbell North Ltd.
Join a leading global trading firm in London, where you will thrive in a dynamic and technically sophisticated environment. With market-leading compensation, catered meals, and excellent commuter benefits, this company fosters a collaborative culture that encourages innovation and growth. As a Data Engineer, you'll have the opportunity to work closely with traders and researchers, contributing to impactful projects that shape the future of trading strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Python - Quant Finance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and data engineering space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your Python prowess and data pipeline expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL/ELT knowledge. Practice coding challenges and be ready to discuss how you've built scalable data architectures in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data engineers who can thrive in a dynamic environment. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Engineer - Python - Quant Finance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python and data engineering, especially in trading environments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our trading teams. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your expertise in ETL/ELT pipelines and any tools or frameworks you’ve worked with. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Campbell North Ltd.
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of ETL/ELT processes. Be ready to discuss specific tools and frameworks you've used in the past, and how they can be applied to the trading environment. This will show that you understand the critical role data plays in trading strategies.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. You might be asked to solve a coding problem or explain how you've used Python in previous projects. Practising common data manipulation tasks can help you feel more confident.
✨Understand the Trading Landscape
Familiarise yourself with the basics of trading and macroeconomic datasets. Being able to speak intelligently about how data influences trading decisions will impress your interviewers and show that you're genuinely interested in the role.
✨Collaborate and Communicate
Since you'll be working closely with traders and researchers, highlight your collaboration skills. Prepare examples of how you've successfully worked in teams before, especially in high-pressure environments. Good communication is key in this role!
