Data Engineer - Python - Quant Finance

Campbell North Ltd.; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading global trading firm is seeking a Data Engineer to join their London office, focusing on robust ETL pipelines and scalable data architectures. Ideal candidates will have a strong background in Python and experience collaborating with trading teams. Benefits include market-leading compensation and catered meals in a dynamic environment.

Benefits

Market-leading compensation

Catered breakfasts and lunches

Commuter and parking benefits

Qualifications

• At least 2 years of experience in data engineering, preferably in trading environments.
• Expert in Python development.
• Deep experience with ETL/ELT tools.

Responsibilities

• Design robust ETL/ELT pipelines for various datasets.
• Collaborate with traders to align data with strategies.
• Build scalable data architectures.

Skills

Python development

Data pipeline tools

DevOps/Linux environments

Job description

Overview

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.