Data Engineer – Leading Global Hedge Fund – Excellent Compensation + Benefits

Mondrian Alpha; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Mondrian Alpha is seeking a robust Data Engineer to join its London front-office technology team, building and maintaining data infrastructure that supports trading, research, and portfolio analytics across a multi-asset platform.

You will own end-to-end data pipelines, ensure access to clean data for portfolio managers, analysts, and technologists, and collaborate with both tech and business stakeholders to improve data quality and platform reliability.

Qualifications

• 5+ years of experience building data pipelines in a financial or trading environment.
• Strong Python and data libraries (pandas).
• Proficient with SQL and relational databases.
• Experience with cloud storage, orchestration and messaging systems.
• Able to handle large, multi-source datasets with a delivery focus.

Responsibilities

• Design, build and optimise scalable data pipelines for analytics and trading.
• Onboard and integrate external and internal data sources.
• Develop and maintain data validation and quality controls.
• Support production data workflows and troubleshoot issues.
• Contribute to data architecture standards and documentation.
• Collaborate with engineering and front-office teams to improve accessibility.
• Occasionally provide out-of-hours support to maintain availability.

Skills

Python

SQL

Data pipelines

Data quality

Stakeholder collaboration

Problem solving

Tools

Cloud storage

Workflow orchestration

Messaging systems

Job description

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.