Senior kdb+ Developer
Data Intellect13 hours ago
Toronto, CanadaSenior
Responsibilities
- Lead technical delivery on client projects and set standards for quality and performance.
- Design, implement, and scale kdb+ architectures for high-volume time-series data.
- Collaborate with quants, traders, and analysts to translate business needs into performant code.
- Develop, test, support, and maintain client applications throughout the full development lifecycle.
- Mentor junior and mid-level developers and provide technical leadership and decision-making.
- Drive innovation in kdb+, q, and adjacent technologies.
Requirements
- At least 5 years of hands-on kdb+ development experience with deep expertise in q and time-series data.
- Proven experience designing, implementing, and scaling kdb+ systems in production.
- Strong background in Unix/Linux environments and scripting.
- Demonstrated technical leadership and decision-making in fast-paced projects.
- Excellent communication skills with technical and non-technical stakeholders.
- Experience in capital markets or investment banking.
- Passion for clean, performant code and continuous improvement.
- Preferred experience with Python, AWS, GCP, Azure, or other time-series databases.
- Preferred exposure to tick data, real-time analytics, or electronic trading systems.
- People management or team leadership experience is a bonus.
Benefits
- Hybrid and flexible working between home and global offices.
- Global opportunities with clients in London, New York, Hong Kong, Singapore, and beyond.
- Paid training, certifications, and leadership development.
- Biannual promotion cycles and regular one-to-one meetings supporting career growth.
- 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.