Data Intellect

Data Intellect

Senior kdb+ Engineer

New York, NY, United States · Senior

Sponsorship not specifiedDetected 49 days ago
PythonAWSGCPAzureCloud PlatformsLinuxData EngineeringExcelLeadershipCommunication

About the role

  • We're a team of engineers, problem-solvers and collaborators who believe in pushing boundaries, not egos.
  • 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.

Responsibilities

  • 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.
  • If you're a proficient kdb+ developer ready to lead, innovate and make an impact, we want to hear from you.

Requirements

  • 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.
  • Experience in capital markets or investment banking, understanding of the domain and its demands.
  • Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets.
  • Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms.

Nice to have

  • 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.
  • Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
  • Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development.
  • Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder.

Company info

  • At Data Intellect, we thrive on solving complex data challenges in high-stakes environments.

This listing is sourced directly from Data Intellect's careers page and normalized into a canonical job model.