Senior KDB+ Developer

Deloitte - Recruitment; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading consulting firm is seeking a Senior KDB Developer in London for a 6-month engagement. The role requires designing and optimizing KDB solutions that support front-office market data and risk management. Candidates should have over 7 years of experience in KDB and q programming, with proven skills in performance tuning and data processing. This position offers the opportunity to work closely with front-office teams and influence critical financial systems.

Qualifications

• Minimum of 7 years of hands‑on professional experience in KDB and q programming.
• Extensive experience with high‑volume, low‑latency KDB systems within financial services context.
• Proven expertise in KDB performance tuning and query optimization.

Responsibilities

• Lead design, development and implementation of high‑performance KDB databases.
• Collaborate with traders and analysts to gather requirements and deliver tailored solutions.
• Troubleshoot and resolve complex issues in a low‑latency environment.

Skills

KDB programming

Performance tuning

Real-time data processing

Analytical skills

Problem-solving

Communication

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

Docker

Kubernetes

Git

Job description

Location: London onsite

Rate: Open to discussion

Duration: 6 months (likelihood of extensions)

Years of experience: 7 years experience

Seeking highly skilled and experienced Senior KDB Developers for a unique opportunity to be embedded within a critical high‑impact engagement. You will play a pivotal role in designing, developing and optimising cutting‑edge KDB solutions that underpin the bank’s most demanding front‑office market data and risk management systems.

Key Responsibilities

• Lead the design, development and implementation of high‑performance KDB databases and applications for critical financial market data and analytics.
• Optimise existing KDB systems for latency, throughput and data storage efficiency, ensuring robust and scalable solutions.
• Collaborate closely with front‑office traders, quantitative analysts and other technology teams to gather requirements, define specifications and deliver tailored solutions.
• Develop and maintain real‑time and historical market data ingestion, processing and query frameworks.
• Troubleshoot and resolve complex technical issues within a demanding low‑latency production environment.
• Contribute to architectural discussions, define best practices for KDB development and ensure adherence to coding standards.
• Provide technical guidance and mentorship to junior developers within the project team.
• Participate in the full software development lifecycle from initial concept through to deployment and ongoing support.

Required Skills and Experience

• Minimum of 7 years of hands‑on professional experience in KDB and q programming.
• Extensive experience designing, implementing and optimising large‑scale, high‑volume, low‑latency KDB systems, preferably within a financial services context.
• Proven expertise in KDB performance tuning, including schema design, query optimisation, memory management and inter‑process communication.
• Strong experience with real‑time data ingestion, processing and distribution mechanisms.
• Solid understanding of data structures, algorithms and distributed computing principles.
• Excellent problem‑solving, analytical and debugging skills.
• Ability to work effectively in a fast‑paced, high‑pressure environment with stringent deadlines.
• Strong communication skills with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders.

Desirable Skills

• Experience with other programming languages such as Python, Java or C.
• Deep understanding of financial market data (equities, fixed income, FX, derivatives, commodities) and its application in KDB for analytics, trading and risk management.
• Familiarity with cloud platforms (e.g. AWS, Azure, GCP) and containerisation technologies (e.g. Docker, Kubernetes).
• Knowledge of distributed systems and big‑data technologies.
• Experience with DevOps practices and CI/CD pipelines.
• Experience working collaboratively on common codebases using Git.
• Understanding of financial regulations and compliance requirements.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics or a related quantitative field.

Key Skills

• APIs
• REST
• Spring
• SOAP
• .NET
• React
• Node.js
• Angular
• J2EE
• JavaScript
• Web Services
• Java

Employment Type: Full Time

Vacancy: 1