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- Tasks: Design and maintain data pipelines, collaborating with traders and researchers.
- Company: Join a leading global trading firm in the heart of London.
- Benefits: Enjoy catered meals, commuter perks, and market-leading pay.
- Why this job: Be part of a dynamic team shaping trading strategies with cutting-edge data infrastructure.
- Qualifications: 2+ years as a data engineer, expert in Python, and familiar with ETL/ELT tools.
- Other info: Ideal for those passionate about data in fast-paced trading environments.
The predicted salary is between 48000 - 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 Engineers - Python employer: Campbell North
Contact Detail:
Campbell North Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineers - Python
✨Tip Number 1
Familiarise yourself with the specific data pipeline tools and frameworks mentioned in the job description. Being able to discuss your experience with these tools during an interview will show that you understand the role's requirements and can hit the ground running.
✨Tip Number 2
Network with professionals in the trading and data engineering fields. Attend industry meetups or online webinars where you can connect with current employees at the firm or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples of how you've designed and maintained ETL/ELT pipelines in previous roles. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Stay updated on the latest trends in data engineering and trading technologies. Being knowledgeable about emerging tools and methodologies can set you apart from other candidates and show your commitment to continuous learning in this fast-paced field.
We think you need these skills to ace Data Engineers - Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly your expertise in Python and any relevant work in trading environments. Use specific examples to demonstrate your skills in building ETL/ELT pipelines and collaborating with teams.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with data pipeline tools and frameworks. Be sure to convey your understanding of the trading environment.
Showcase Relevant Projects: If you have worked on projects that involved designing data architectures or collaborating with traders and researchers, include these in your application. Briefly describe the challenges you faced and how you overcame them, focusing on the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Campbell North
✨Showcase Your Python Expertise
Make sure to highlight your Python development skills during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to data pipelines or trading environments.
✨Understand ETL/ELT Processes
Since the role involves designing and maintaining ETL/ELT pipelines, brush up on your knowledge of these processes. Be ready to explain how you've implemented them in past roles and any tools you've used.
✨Demonstrate Collaboration Skills
This position requires working closely with traders and researchers. Prepare examples of how you've successfully collaborated with cross-functional teams in the past, focusing on communication and alignment of goals.
✨Familiarise Yourself with Data Architecture
As building scalable and reliable data architectures is key, be prepared to discuss your experience in this area. Think about the challenges you've faced and how you overcame them, as well as any frameworks or tools you're familiar with.
