Data Engineer – Leading Global Hedge Fund – Excellent Compensation + Benefits
Python (pandas), SQL, and modern data tools (cloud storage, workflow orchestration, messaging systems) are used. This role builds scalable data pipelines and infrastructure for a multi-asset hedge fund’s front-office trading, research, and portfolio analytics.
Free Tailor for ATS: 10/10 runs left
My client, a leading US-based discretionary hedge fund, is seeking a strong Data Engineer to join their London team.
This role sits within a front-office technology environment, focused on building and maintaining high-quality data infrastructure that supports trading, research, and portfolio analytics across a multi-asset platform.
You will play a key role in developing scalable data pipelines and ensuring reliable access to clean, well-structured data used by portfolio managers, analysts, and technologists. The position offers strong ownership across the full data lifecycle, from ingestion through to delivery in production systems.
Working within a collaborative and high-impact team, you will partner closely with both technical and business stakeholders to improve data quality, accessibility, and overall platform robustness.
Responsibilities
Design, build, and optimise scalable data pipelines to transform raw datasets into usable formats for analytics and trading
Work closely with stakeholders to onboard and integrate external and internal data sources
Develop and maintain data validation and quality controls to ensure accuracy and consistency
Support production data workflows, troubleshooting issues and ensuring reliable data availability
Contribute to improving data architecture, standards, and documentation across the platform
Collaborate with engineering and front-office teams to enhance data accessibility and usability
Participate in maintaining system stability and availability, including occasional out-of-hours support where required
Requirements
5+ years of experience building data pipelines in a financial or trading environment
Strong programming skills in Python (including pandas or similar libraries)
Solid experience working with SQL and relational databases
Familiarity with modern data tools and frameworks (e.g. cloud storage, workflow orchestration, messaging systems)
Experience working with large, complex datasets from multiple sources
Strong problem-solving skills and a pragmatic, delivery-focused approach
Ability to work collaboratively with both technical and non-technical stakeholders
My client offers a highly competitive total compensation package, alongside strong benefits and the opportunity to work in a high-performance, front-office environment with direct impact on trading and investment processes.
To apply, please respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com