KDB Developer - Outside IR35 - Up to £800 per day

Hunter Bond; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Hunter Bond is looking for a KDB Developer for a long-term engagement in the Greater London area. The successful candidate will develop, test, and maintain kdb+ applications while gathering business requirements and mentoring junior developers. Strong experience in q programming, data pipelines, and proficiency in additional languages like Python or Java are essential. This role offers opportunities to work in a leading FinTech environment, collaborating closely with engineering teams.

Qualifications

• Hands-on experience with kdb+ and strong proficiency in q for time-series data processing.
• Experience building real-time and historical data pipelines.
• Familiarity with Linux-based environments and scripting.

Responsibilities

• Gather and translate business requirements into technical solutions.
• Design, develop, test and maintain kdb+ applications.
• Mentor junior developers and contribute to code quality.

Skills

kdb+

q programming

Python

Java

Linux

AWS

GCP

Docker

Job description

Long-Term Engagement on a Rolling Contract

May Start Date

Our client, a leader in the FinTech space are searching for a KDB Developer to add to their Client Engineering team! You will be working alongside Software teams to develop, test and maintain all code for client applications.

Responsibilities will include

• Gather and translate business requirements into technical solutions for market data and analytics applications
• Design, develop, test and maintain kdb+ applications and supporting services
• Support full project delivery lifecycle, including debugging, optimisation and production support
• Perform data analysis and build reporting/analytics outputs for stakeholders
• Mentor junior developers and contribute to code quality, standards and team delivery

Technical Skills needed

• Hands‑on experience with kdb+ and strong proficiency in q for time‑series data processing
• Experience building real‑time and historical data pipelines (tick data capture, ingestion, querying, and distribution systems)
• Proficiency in additional languages such as Python or Java, including API integration (REST, messaging frameworks)
• Familiarity with Linux-based environments, scripting, and networking concepts (process management, sockets, IPC)
• Experience with cloud platforms (e.g., AWS, GCP) and containerisation tools (Docker/Podman), plus CI/CD pipelines
• Knowledge of market data platforms and financial systems (e.g., Bloomberg Terminal, Refinitiv Eikon) and understanding of time‑series databases and distributed systems

[e-mail] for more information!