KDB Developer

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

We are currently seeking a highly experienced KDB Developer to join a leading financial services organisation on an initial 12-week contract. This role will focus on the development, enhancement and support of high-performance market data and trading platforms, working within a fast-paced environment supporting business-critical trading and analytics systems.

The successful candidate will have extensive expertise in kdb+/q, low-latency systems, real-time streaming data architectures and large-scale time-series data platforms. You will work closely with technology and business stakeholders to design and deliver scalable solutions that support trading, market data and analytics functions.

Key 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 and implement scalable real-time streaming and event-driven architectures.
• Collaborate with traders, quantitative teams, business analysts and technology stakeholders to gather and translate requirements into technical solutions.
• Support the full software development lifecycle, including design, development, testing and deployment.
• Troubleshoot complex production issues and implement performance improvements.
• Optimise system performance, scalability and reliability across trading and data platforms.
• Work closely with global technology teams to ensure alignment of solutions and best practices.
• Contribute to architecture decisions and strategic technology initiatives.
• 15+ years' experience working with kdb+/q.
• Proven track record designing and developing large-scale kdb+ platforms and infrastructure.
• Strong Computer Science fundamentals and software engineering principles.
• Excellent understanding of the Software Development Lifecycle (SDLC).
• Hands-on development experience within Unix and/or Linux environments.
• Strong knowledge of distributed systems and real-time data processing.
• Experience designing and supporting high-performance, high-throughput systems.
• Expertise in market data processing and time-series database technologies.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management capabilities.

Technical Expertise

• Tick Data Capture & Processing
• Time-Series Databases
• Real-Time Streaming Platforms
• High-Performance Computing
• Market Data Platforms
• Order Management & Execution Data
• Performance Tuning & Optimisation