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Market Data Engineer

Goldman Lloyds

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) #J-18808-Ljbffr Goldman Lloyds

Vacancy posted 1 day ago
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