Data Engineer - Python - Quant Finance

JR United Kingdom; Slough; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global trading firm is seeking a Data Engineer in Slough to enhance trading and research operations. You'll be instrumental in building data infrastructures and collaborating with trading teams. Ideal candidates have strong Python skills and trading experience, offering a dynamic work environment with market-leading compensation.

Benefits

Market-leading compensation

Catered breakfasts and lunches

Commuter and parking benefits

Opportunity to work in a dynamic, sophisticated environment

Qualifications

• At least 2 years of experience as a Data Engineer.
• Expert in Python development.
• Experience with data pipeline tools and frameworks (ETL/ELT).

Responsibilities

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

Skills

Python

Data pipeline tools

ETL/ELT

Education

Experience in trading environments

DevOps/Linux experience

Job description

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Data Engineer - Python - Quant Finance, slough

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Client:

Campbell North

Location:

slough, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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.