$ cat jobs/senior-kdb-engineer-dataintellect-44d8ab679430.json
Senior kdb+ Engineer
Join the world’s largest kdb+ Consultancy where every query matters, every millisecond counts and every system you build shapes the future of data-driven finance. At Data Intellect , we thrive on solving complex data challenges in high-stakes environments. We’re a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos. If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you. 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. 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 ot
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