Market Data Engineer

Market Data Engineer | Leading Hedge Fund | New York | Hybrid

We are working confidentially with a leading hedge fund to identify a Market Data Engineer for a high-impact seat within their market data infrastructure function. This is a rare opportunity to join a greenfield build of a firm-wide market data platform — engineering the core data ingestion, distribution, and quality frameworks that underpin trading, risk, and quantitative research across the firm.

What You'll Be Doing

• Designing and building a greenfield market data platform from the ground up — ingestion, normalisation, distribution, and quality frameworks
• Engineering high-performance, low-latency data pipelines handling real-time and historical market data across asset classes
• Integrating with major market data vendors — Bloomberg, Refinitiv, ICE, and alternative data providers
• Building robust data quality, validation, and entitlement frameworks
• Designing and implementing data storage and retrieval solutions optimised for financial time-series data
• Partnering directly with quant researchers, traders, and risk teams to ensure data meets investment and analytical requirements
• Owning platform reliability, performance, and scalability as the firm's data needs evolve

What We Are Looking For

• Strong engineering fundamentals — C#, Java, or Python at a production level
• You write clean, deliberate code and you know why it matters
• Deep understanding of OOP, design patterns, and system architecture
• Distributed systems experience — consistency, availability, and partition tolerance trade-offs built and handled in practice
• Concurrency, multithreading, and memory management at a systems level
• Experience building high-throughput, low-latency data pipelines in a production financial environment
• Strong SQL and time-series data handling capability
• Direct experience with market data vendors and financial data feeds
• Hedge fund or financial services background strongly preferred

Beneficial

• Experience with kdb+/q or high-performance time-series databases
• Messaging framework experience — Kafka, Solace, Aeron, or equivalent
• Familiarity with data entitlements and permissioning frameworks
• Alternative data sourcing and onboarding experience
• Cloud infrastructure experience — AWS or GCP

Location: New York | Hybrid

Compensation: Base + Bonus (Advertised is base salary only)