KDB+/q Expert — Real-Time Market Data Architect

Cpl; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

CPL is seeking a highly experienced KDB Developer to join a leading financial services organisation on an initial 12-week contract. The role focuses on developing, enhancing and supporting high-performance market data and trading platforms.

The candidate will have extensive expertise in kdb+/q, real-time streaming architectures and large-scale time-series data platforms, working with technology and business stakeholders to deliver scalable solutions for trading and analytics functions.

Qualifications

• 15+ years of experience with kdb+/q.
• Strong CS fundamentals and software engineering principles.
• Excellent understanding of the Software Development Lifecycle (SDLC).
• Hands-on development in Unix and/or Linux environments.
• Experience with high-performance, time-series data architectures.

Responsibilities

• Design, develop and maintain large-scale kdb+/q applications and infrastructure.
• Build and optimise high-performance time-series databases and analytics platforms.
• Develop and support low-latency market data processing solutions.
• Capture, process and analyse high-volume tick data and trading datasets.
• Design scalable real-time streaming and event-driven architectures.
• Collaborate with traders, quantitative teams and stakeholders to translate requirements.
• Support the full software development lifecycle from design to deployment.
• Troubleshoot production issues and improve performance.
• Ensure scalability, reliability and alignment with global tech teams.

Skills

kdb+/q

low-latency

time-series

real-time processing

distributed systems

market data

SDLC

Unix/Linux

stakeholder management

trading systems

Tools

Unix/Linux

Job description

CPL is seeking a highly experienced KDB Developer to join a leading financial services organisation on an initial 12-week contract. The role focuses on developing, enhancing and supporting high-performance market data and trading platforms.

The candidate will have extensive expertise in kdb+/q, real-time streaming architectures and large-scale time-series data platforms, working with technology and business stakeholders to deliver scalable solutions for trading and analytics functions.