kdb+ Developer
Data Intellect3 days ago
Singapore, SingaporeMid Level
Responsibilities
- Collaborate with business users to define new application requirements.
- Develop, test, and maintain clean, performant code for client applications.
- Analyze large-scale time-series data and generate actionable reports.
- Support project delivery alongside project managers and senior developers.
- Work collaboratively to deliver solutions on time and on budget.
- Mentor junior developers and contribute to continuous learning.
- Explain complex systems to technical and non-technical stakeholders.
- Contribute to internal tools, documentation, or community initiatives.
Requirements
- At least 2 years of hands-on kdb+ development experience with real-time and historical data.
- Solid understanding of the q language and time-series data structures.
- Experience working in Unix/Linux environments.
- Strong logical thinking, problem-solving, communication, and collaboration skills.
- Familiarity with software development methodologies and the SDLC.
- Capital-markets or investment-banking experience is advantageous but not essential.
- Bonus qualifications include Python, cloud-platform, or other time-series database experience; exposure to Claude or Copilot; project leadership or people-management experience; and contributions to internal tools, documentation, or community initiatives.
Benefits
- Hybrid and flexible working between home and global offices.
- Paid training in technical and leadership skills.
- Clear progression pathway with biannual promotion cycles and monthly 1:1s with a People Leader.
- Opportunities to work with teams in Belfast, London, New York, Hong Kong, Singapore, and Toronto.
- Healthcare and wellbeing benefits, provider dependent on region.
- Referral bonuses and social events.
About Data Intellect
Data Intellect is a Belfast‑headquartered, privately held data and technology consultancy focused on capital markets. It designs, builds, and manages high‑performance systems for trading, risk, market data, surveillance, and analytics, with deep expertise in kdb+, time‑series engineering, and data platforms. The company operates globally, with teams serving clients in major financial hubs including London, New York, Hong Kong, Singapore, and Toronto.