Senior Market Data Engineer

Data Engineer - Market Data for Asset Management The client is a global multi-strategy investment firm that prioritises the development of high-performance technology platforms supporting trading and portfolio management. They are seeking an experienced Market Data Engineer with over eight years of industry experience to join their London team and play a key role in advancing their Tick-level market data platform. You will help drive the firm's data strategy by designing and optimising systems that support real-time decision-making, quantitative research, and multi-asset trading activity. The ideal candidate will have deep expertise in high-volume financial data processing, with a strong focus on architecting, implementing, and enhancing scalable market data systems. You will work within a highly technical engineering team and collaborate closely with quants, traders, and platform specialists to build resilient, low-latency, cloud-native data solutions. The role includes modernising core data pipelines, improving data quality and system performance, and contributing to the evolution of a large-scale market data ecosystem that underpins the firm's global trading operations. Market Data Engineer Key Responsibilities Build and optimise high-volume Tick data pipelines using Python, cloud platforms, and time-series databases (KDB/OneTick). Implement and maintain Parquet-based storage and integrate Apache Iceberg for large-scale data management. Improve data quality, latency, and reliability across market data workflows within a CI/CD framework. Partner with trading and engineering teams to define requirements and integrate datasets into trading systems. Market Data Engineer Requirements Proven experience designing and maintaining market data pipelines in financial environments. 8+ years of software engineering experience with strong Python and cloud platform skills (AWS/GCP/Azure). Expertise in Tick data processing, Parquet storage formats, and time-series databases such as KDB or OneTick. Experience with Kubernetes/containerisation, with additional skills in Apache Iceberg and C++ considered a strong advantage.