Data Engineer – Investment Management

Overview

As a Python Data Engineer at Quant Capital’s client, you’ll help build and sustain a scalable data lake and support seamless data ingestion from internal and external sources. You’ll work with cross‑functional teams to ensure robust data flows in a high‑performance trading environment. Expect exposure to trading infrastructure and Bloomberg data, with a London hybrid setup and a culture that values technical excellence. You’ll contribute to shaping data capabilities at a fast‑growing hedge fund that prizes learning and impactful tech decisions.

Pay / Benefits

• hybrid work schedule
• bonus
• central London location
• open, relaxed culture
• opportunity to work with leading tech in finance

Responsibilities

• Support and monitor the data lake lifecycle, fix errors, and extend functionality
• Assist ingestion of external data to enable seamless internal/external data integration
• Independently manage code repositories, documentation, and cross‑team workflows
• Communicate data formats and transformations with consumers and data providers
• Build knowledge of trading and asset management space through hands‑on work
• Contribute to data quality, reliability, and performance in a trading environment

Key requirements

• 2:1 degree in Computer Science, Mathematics, Physics or Chemistry from a Red Brick UK or EU university
• Python
• Matlab
• PostgreSQL
• Bloomberg
• Trading or investment management experience
• Understanding of OOP, threading, concurrency and distributed systems

• Effective communication with stakeholders
• Collaborative mindset and willingness to learn from teammates
• Ability to work in a fast‑paced, high‑tech environment
• Python
• Matlab
• PostgreSQL