Python Data Engineer – Investment Management

Overview

In this role you will help build and operate a scalable Python-driven data platform for a prominent investment firm. You will work within a cross-functional team on a large distributed system that ingests real-time data for portfolio management, with a focus on latency and performance. The environment blends startup agility with tech-first rigor, offering a collaborative culture and opportunities to learn from experts. You’ll shape the data infrastructure from scratch and contribute to high-stakes financial systems within Central London.

Responsibilities

• Develop and maintain a large distributed system (Python and Java) for real-time data automation into a portfolio management system
• Expand and improve the data platform from scratch with domain support in finance
• Demonstrate strong Python coding and database management across SQL/NoSQL/PostgreSQL
• Apply knowledge of latency, concurrency, and distributed systems to ensure robust performance
• Collaborate with enterprise-related software development and DevOps practices (AWS, Linux, CloudWatch)
• Contribute to financial services projects, ideally fund/wealth management environments

Key requirements

• 3+ years of commercial development experience
• Strong core Python programming
• Solid database skills (SQL, NoSQL, PostgreSQL)
• Experience in financial services, ideally fund/wealth management
• Enterprise software development experience
• Understanding of object-oriented programming, threading, concurrency, and distributed systems
• Bachelor or equivalent degree in relevant fields (as stated)

• strong problem-solving mindset
• quick learner and proactive
• team-oriented and collaborative
• Python
• Java
• SQL