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Data Engineer - Python - Quant Finance

Campbell North Ltd.

London

On-site

GBP 50,000 - 90,000

Full time

30+ days ago

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Job summary

An established industry player is looking for a skilled Data Engineer to enhance their trading operations in London. This role is pivotal in managing the data lifecycle, focusing on designing robust ETL/ELT pipelines and collaborating with traders to optimize data for trading strategies. With a commitment to innovation, this firm offers a dynamic environment where your contributions will directly impact trading and research strategies. If you have a strong background in Python and experience in trading contexts, this is an exciting opportunity to advance your career in a leading global trading firm.

Benefits

Catered breakfasts and lunches
Commuter benefits
Parking benefits
Dynamic work environment

Qualifications

  • 2+ years of experience in data engineering, preferably in trading.
  • Expertise in Python development and data pipeline tools.

Responsibilities

  • Design and maintain ETL/ELT pipelines for macroeconomic datasets.
  • Collaborate with traders to align data with trading strategies.
  • Build scalable and reliable data architectures.

Skills

Python
ETL/ELT
Data Pipeline Tools
DevOps
Linux

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.

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