Market Data Engineer

Millennium; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Millennium is seeking a Senior Market Data SRE in Hong Kong to manage real-time data environments, improve platform reliability, and collaborate with trading desks and core tech teams. You will help shape the technical direction and build scalable data processing systems.

The role requires deep knowledge of market data concepts, low-latency optimization, and strong Linux/networking skills, with a background in distributed platforms and automation.

Qualifications

• Experience supporting market data environments within a global organization, including internally developed feed handlers and distribution infrastructure.
• Strong understanding of market data concepts, including data models, messaging protocols, order book structures, recovery, and reliability mechanisms.
• Hands-on site reliability engineering or operational expertise, including system administration, automation, measurement, and release/deployment management.
• Experience with monitoring, metrics, and command-and-control capabilities for distributed market data platforms.
• Degree in Computer Science or related field with strong object-oriented programming or scripting experience.
• Solid understanding of Linux internals, networking and CPU architecture for high-performance systems.

Responsibilities

• Support and manage both enterprise and latency-sensitive real-time market data environments, including internal, vendor, and exchange-driven changes.
• Partner with Portfolio Managers, trading desks, and core technology teams to support users of the market data platform and address evolving business needs.
• Help shape the team’s technical direction by driving platform enhancements and new engineering initiatives.
• Collaborate with hardware and software engineering teams across the firm to build real-time market data processing and distribution systems.
• Optimize platform performance through network and systems programming techniques designed to reduce latency and improve reliability.
• Design and build tools that automate support and platform management, including monitoring, real-time and historical metrics, visualization, and self-service administrative capabilities.
• Strengthen operational processes and workflows across release management, incident response, remediation, exchange notification handling, and SLA enforcement.
• Contribute to the stability and evolution of the global market data plant across both low-latency and non-latency-sensitive environments.

Skills

Market data experience

Data models & protocols

Market data platforms

Site reliability engineering

Monitoring & metrics

Bloomberg/Thomson Reuters

Linux & networks

Ownership & communication

Education

Degree in Computer Science or related field

Tools

Bloomberg

Thomson Reuters

Job description

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Core to the health and growth of our business, Millennium’s Information Technology organization develops flexible, scalable technology and advanced proprietary systems that support the firm’s active, multi-manager business model. Within this environment, the SPEED Market Data team is focused on high-performance, real-time market data infrastructure that underpins systematic trading. The team works across low-latency and enterprise environments to build, maintain, and enhance resilient market data systems with a strong emphasis on stability, accuracy, speed, and operational excellence.

What You’ll Do

• Support and manage both enterprise and latency-sensitive real-time market data environments, including internal, vendor, and exchange-driven changes
• Partner with Portfolio Managers, trading desks, and core technology teams to support users of the market data platform and address evolving business needs
• Help shape the team’s technical direction by driving platform enhancements and new engineering initiatives
• Collaborate with hardware and software engineering teams across the firm to build real-time market data processing and distribution systems
• Optimize platform performance through network and systems programming techniques designed to reduce latency and improve reliability
• Design and build tools that automate support and platform management, including monitoring, real-time and historical metrics, visualization, and self-service administrative capabilities
• Strengthen operational processes and workflows across release management, incident response, remediation, exchange notification handling, and SLA enforcement
• Contribute to the stability and evolution of the global market data plant across both low-latency and non-latency-sensitive environments

What You Bring

• Experience supporting market data environments within a global organization, including internally developed feed handlers and distribution infrastructure\
• Strong understanding of market data concepts, including data models, messaging protocols, order book structures, recovery, and reliability mechanisms
• Technical background in developing and supporting complex market data systems, including platforms such as Bloomberg and Thomson Reuters
• Hands-on site reliability engineering or operational expertise, including system administration, automation, measurement, and release or deployment management
• Experience with monitoring, metrics, and command-and-control capabilities for distributed market data platforms, with the ability to assess current solutions and drive improvements\
• Degree in Computer Science or a related field, with strong object-oriented programming or scripting experience
• Solid understanding of Linux internals, networking, and CPU architecture, with the ability to apply that knowledge to high-performance systems
• Strong prioritization, communication, relationship management, and ownership skills, with a detail-oriented approach in fast-moving, high-pressure environments