Description

A leading global investment firm is seeking a Market Data Engineer to join its London-based team and help build robust, scalable tick data infrastructure that powers systematic trading strategies across asset classes. This is a high-impact engineering role focused on designing and optimizing real-time and historical market data pipelines in a cloud-native environment.

You'll work closely with trading and quant teams to ensure data is clean, fast, and accessible - enabling research, signal generation, and execution at scale.

What You'll Do

• Build and maintain high-performance tick data pipelines for ingesting, processing, and storing large volumes of market data.
• Work with time-series databases (e.g., KDB, OneTick) and Parquet-based file storage to optimize data access and retrieval.
• Design scalable cloud-native solutions (AWS preferred) for market data ingestion and distribution.
• (Bonus) Integrate Apache Iceberg for large-scale data lake management and versioned data workflows.
• Collaborate with trading and engineering teams to define data requirements and deliver production-grade solutions.
• Implement robust data validation, monitoring, and error handling to ensure data integrity and uptime.
• Continuously improve latency, throughput, and scalability to support high-frequency trading environments.

What You Bring

• 4+ years of experience in software engineering, with a focus on market data systems.
• Strong Python skills and familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with tick data and building tick data pipelines.
• Proficiency with Parquet-based file storage; Iceberg experience is a plus.
• Familiarity with Kubernetes, containerization, and modern orchestration tools.
• Experience with time-series databases (KDB, OneTick) and C++ is a plus.
• Strong problem-solving skills and a collaborative mindset.
• Understanding of financial markets and trading concepts is beneficial.

This is a chance to build foundational infrastructure that directly supports alpha generation. You'll work in a fast-paced, collaborative environment where engineering excellence drives trading performance.

If you're passionate about market data, scalable systems, and working at the core of systematic investing - we'd love to hear from you.