Senior Python Distributed Systems Engineer – Quant Hedge Fund – London

A global hedge fund is looking to add a Senior Data Platform Engineer to a core engineering team responsible for building and operating a modern market data platform.

This role sits at the intersection of software engineering, data systems, and DevOps. The successful candidate will help co‑owner a Linux‑based, containerised data platform built on modern open‑source tooling, working across development, integration, and production reliability.

The team is small and highly technical, and this role is suited to engineers who enjoy understanding systems end‑to‑end, debugging complex cross‑service issues, and taking responsibility for platforms that run in live environments.

Responsibilities:

• Design, build, and extend a production market data platform built primarily in Python
• Work across ingestion, transformation, storage, and orchestration layers of the system
• Develop and maintain backend services and data pipelines
• Debug and resolve issues across multiple integrated systems and open‑source components
• Contribute to platform stability, observability, and performance in a Linux environment
• Work with containerised infrastructure (Nomad today, potential migration to Kubernetes)
• Support and optimise data storage layers (e.g. relational and columnar systems)
• Collaborate closely with a senior lead engineer to evolve and harden the platform
• Take ownership of production incidents and help improve system resilience over time

Requirements:

• 7+ years of professional software engineering experience
• Strong hands‑on Python development experience in production systems
• Experience designing and operating data‑intensive or distributed systems
• Comfortable working in Linux and containerised environments
• Experience with modern data tooling (e.g. orchestration frameworks, lakehouse technologies, dbt, Iceberg or similar) is advantageous
• Experience working with market or financial data is helpful but not essential
• Strong ownership mindset and willingness to operate in a “build and run” environment

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