Data Intellect develops full-system data solutions for sectors including fintech, healthcare, renewables, and telematics, serving global organizations with complex data needs.
Singapore
Mid-senior kdb+ developer role building and maintaining financial time series applications. Requires 3+ years’ experience, SDLC knowledge, and strong client-facing skills. Python, cloud, and leadership experience are desirable.
Belfast, Northern Ireland, UK
Senior kdb+ developer role leading technical teams and defining architectures for financial time series solutions. Requires 5+ years’ experience, Unix/Linux skills, and capital markets background. Cloud, Python, and leadership experience are a plus.
London, England, UK
Lead architecture, development, and delivery of time series solutions in capital markets. Requires 5+ years’ kdb+, Linux, stakeholder engagement, and technical leadership. Python/cloud a plus.
Toronto, Canada
Senior kdb+ developer role leading architecture and delivery of financial time series systems. Requires 5+ years’ experience, Unix/Linux skills, and capital markets expertise. Cloud, Python, and leadership experience are advantageous.
Toronto, Canada
Associate kdb+ developer role supporting financial time series apps. Requires 1+ years’ experience, SDLC knowledge, and strong analytical and client-facing skills. Python, cloud, and capital markets experience are beneficial.
New York City, NY, USA
Entry-level kdb+ developer role working on time series data apps for finance clients. Requires 1+ years’ experience, SDLC familiarity, and strong analytical skills. Python, cloud, and capital markets exposure are advantageous.
Belfast, Northern Ireland, UK
Mid-senior kdb+ developer role supporting financial data applications. Requires 3+ years’ experience, SDLC understanding, and strong client interaction. Bonus for Python, cloud, or prior capital markets exposure. Mentorship responsibilities included.
Hong Kong SAR
Mid-senior kdb+ developer role focused on building and maintaining time series data apps for financial clients. Requires 2+ years' experience, SDLC knowledge, and strong problem-solving. Python, cloud, and capital markets exposure a plus.