Teams at Data Intellect

Lead technical delivery of high-performance kdb+ solutions for financial institutions. Design and scale architectures handling billions of time-series data rows, collaborate with quants and traders, maintain the full development lifecycle, and mentor engineers. The role requires deep q and kdb+ expertise, Unix/Linux proficiency, capital markets experience, and strong technical leadership.

Develop and maintain performant kdb+ applications for capital markets clients. Collaborate with business users to define requirements, analyze large-scale time-series data, generate reports, support project delivery, and contribute to testing and maintenance. The role requires q programming, real-time and historical data expertise, Unix/Linux experience, strong problem-solving, and effective stakeholder communication. Mentoring junior developers and contributing to continuous learning are also expected.

Lead technical delivery for capital markets clients by designing, implementing, and scaling high-performance kdb+ architectures for time-series data. Develop, test, support, and maintain client applications while collaborating with quants, traders, and analysts. Mentor developers, provide technical leadership, and drive innovation across kdb+, q, and related technologies. The role requires deep production expertise in kdb+ and capital markets, with contract and permanent opportunities available.