5+ years of hands-on kdb+ development with expertise in q and time-series data.
Proven experience in designing and implementing kdb+ architectures for production environments.
Strong background in Unix/Linux and scripting.
Demonstrated technical leadership in fast-paced projects.
Excellent communication skills for diverse stakeholder engagement.
Experience in capital markets or investment banking.
Responsibilities
Lead technical delivery on client projects, ensuring high standards of quality.
Design and implement robust kdb+ architectures for large-scale data handling.
Collaborate with quants, traders, and analysts to translate business needs into efficient code.
Mentor junior and mid-level developers to foster technical excellence.
Own the full development lifecycle, from coding to maintenance.
Drive innovation by staying updated on kdb+, q, and emerging technologies.
Benefits
Hybrid and flexible working arrangements.
Global opportunities with clients across major financial hubs.
Access to paid training, certifications, and leadership development from day one.
Clear progression pathways with biannual promotions and monthly 1:1s.
Healthcare and wellbeing support, region-dependent.
Flexible holiday allowance with options to work bank holidays.
Generous referral bonuses and engaging social events.
Full Job Description
Job Description
As a Senior kdb+ Engineer at [DI] you'll be at the forefront of delivering high-performance, scalable solutions for some of the world's most data-intensive financial institutions. You'll:
Lead technical delivery on client projects, setting the standard for quality and performance.
Design and implement robust kdb+ architectures that handle billions of rows of time-series data.
Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code.
Mentor and guide junior and mid-level developers, fostering a culture of technical excellence.
Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications
Drive innovation by staying ahead of the curve in kdb+, q, and emerging technologies.
Qualifications
What You Bring
5+ years of hands-on kdb+ development, with deep expertise in q and time-series data.
Proven experience designing and implementing kdb+ architectures 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 to explain complex systems to both technical and non-technical stakeholders.
Experience in capital markets or investment banking, understanding of the domain and its demands.
A passion for clean, performant code and continuous improvement.
Bonus Points For:
Experience with AI tooling (Claude, Co-Pilot)
Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
Exposure to tick data, real-time analytics, electronic trading systems.
People management or team leadership experience.
Additional Information
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
Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder.
Ready to lead the next generation of high performance kdb+ solutions?
Challenge Accepted. Apply now.
Videos To Watch https://www.youtube.com/watch?v=xasf9Ssd6wQ
