Real-Time Market Data Engineer

Millennium

Greater London

On-site

GBP 110,000 - 170,000

Full time

34 hours ago
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Job summary

Millennium is seeking an experienced market data platform engineer to support real-time environments and distributed systems. You will work with trading desks and core technologists to ensure stable, low-latency data delivery and scalable operations.

The role emphasizes SRE practices, automation, release management, and performance tuning in a global market data landscape. Strong scripting, Linux, and data-model knowledge are essential.

Qualifications

  • Experience supporting market data environments in a global org.
  • Strong understanding of market data concepts and protocols.
  • Hands-on site reliability engineering, automation and release management.
  • Experience with monitoring, metrics, and distributed platforms.

Responsibilities

  • Support and manage real-time market data environments across internal, vendor, and exchange feeds.
  • Partner with PMs, trading desks, and tech teams to support market data users.
  • Shape the team’s technical direction by driving platform enhancements and engineering initiatives.
  • Collaborate with hardware and software teams to build real-time data processing systems.
  • Optimize platform performance through networking and systems programming to reduce latency.
  • Develop tools to automate support, monitoring and self-service management.
  • Improve release processes, incident response, and SLA adherence.

Skills

SRE fundamentals
Real-time data
Network tuning
Performance engineering
Python scripting

Education

Bachelor's in CS

Tools

Bloomberg
Thomson Reuters
Prometheus
Grafana

Job description

Millennium is seeking an experienced market data platform engineer to support real-time environments and distributed systems. You will work with trading desks and core technologists to ensure stable, low-latency data delivery and scalable operations.

The role emphasizes SRE practices, automation, release management, and performance tuning in a global market data landscape. Strong scripting, Linux, and data-model knowledge are essential.

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