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For Companies At a Glance
- Tasks: Design and maintain data pipelines, collaborating with traders and researchers.
- Company: Leading global trading firm with a focus on innovation.
- Benefits: Market-leading pay, catered meals, and commuter perks.
- Why this job: Join a dynamic team and make an impact in trading strategies.
- Qualifications: 2+ years of data engineering experience and strong Python skills.
- Other info: Opportunity to work in a technically sophisticated environment.
The predicted salary is between 48000 - 72000 £ 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
- You'll play a vital role in the data lifecycle, including:
- 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 in England employer: Campbell North Ltd.
Contact Detail:
Campbell North Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading and data engineering space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ETL/ELT projects. If you've built any data pipelines or architectures, make sure to highlight them. This is your chance to demonstrate your expertise in Python and data tools.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've collaborated with traders and researchers in the past. Practice common interview questions related to data engineering and trading strategies.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Make sure your application stands out by tailoring it to the role and showcasing your relevant experience.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with ETL/ELT pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your Python expertise and any relevant projects you've worked on.
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 your background fits with our trading environment. We love seeing enthusiasm and a clear connection to the role.
Showcase Your Collaboration Skills: Since this role involves working closely with traders and researchers, highlight any past experiences where you’ve collaborated with different teams. We appreciate candidates who can communicate effectively and work well in a team setting.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Campbell North Ltd.
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with ETL/ELT pipelines. Be ready to discuss specific projects where you've designed or maintained these systems, especially in trading environments. This will show that you understand the critical role data plays in trading strategies.
✨Brush Up on Python and DevOps
Since Python is a key requirement for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data engineering tasks. Also, don’t forget to mention your familiarity with DevOps and Linux, as it’s crucial for the role.
✨Collaborate Like a Pro
This position involves working closely with traders and researchers, so highlight any past experiences where you’ve collaborated with different teams. Share examples of how you aligned data solutions with business needs, as this shows you can bridge the gap between technical and non-technical stakeholders.
✨Show Enthusiasm for the Trading Environment
Express your interest in the trading industry and how data engineering fits into it. Research the firm’s trading strategies and be ready to discuss how your skills can contribute to their success. A genuine passion for the field can set you apart from other candidates.
