Dataintellect
kdb+ Engineer
Toronto, ON, Canada
Sponsorship not specifiedDetected 50 days ago
PythonAWSGCPAzureCloud PlatformsLinuxData EngineeringExcelLeadershipCommunicationCollaborationProblem SolvingMentoring
About the role
- If you're a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow in a supportive, high-performance environment - this is your opportunity!
Responsibilities
- Developing, testing and maintaining clean, performant code for client applications.
Requirements
- 2+ years of hands-on kdb+ development experience.
- Experience working in Unix/Linux environments.
- Familiarity with software development methodologies and the SDLC.
- Experience in Capital Markets or Investment Banking is advantageous
- Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms.
Skills
- Experience with AI tooling (Claude, Co-Pilot)
- Knowledge of Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
- Exposure to project leadership or people management.
- Contribution to internal tools, documentation, community initiatives.
- Why Join Data Intellect?
- Hybrid & flexible working - balance your time between home and our global offices.
- Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
- Continuous learning - day one access to paid training, certifications and leadership development.
- Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development.
- Healthcare & wellbeing - provider dependent on region.
- Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage
- Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets.
Benefits
- Mentoring junior developers and contributing to a culture of continuous learning.
Company info
- Working as part of a close-knit team to deliver solutions on time and on budget.
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This listing is sourced directly from Dataintellect's careers page and normalized into a canonical job model.