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 PythonWork across ingestion, transformation, storage, and orchestration layers of the systemDevelop and maintain backend services and data pipelinesDebug and resolve issues across multiple integrated systems and open‑source componentsContribute to platform stability, observability, and performance in a Linux environmentWork 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 platformTake ownership of production incidents and help improve system resilience over timeRequirements:7+ years of professional software engineering experienceStrong hands‑on Python development experience in production systemsExperience designing and operating data‑intensive or distributed systemsComfortable working in Linux and containerised environmentsExperience with modern data tooling (e.g. orchestration frameworks, lakehouse technologies, dbt, Iceberg or similar) is advantageousExperience working with market or financial data is helpful but not essentialStrong ownership mindset and willingness to operate in a “build and run” environment #J-18808-Ljbffr