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

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