Senior Market Data Engineer - Selby Jennings
other jobs eFinancialCareers
Added before 2 hours
- England,London,City of London
- Full Time, Permanent
- Competitive salary
Job Description:
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.
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.
Job number 3460674
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