Senior kdb+ Engineer at Data Intellect | NY, US | Rezi

Senior kdb+ Engineer at Data Intellect

Senior kdb+ Engineer

Data Intellect · NY, US

4 days ago

Senior kdb+ Engineer

Data Intellect · NY, US

5 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior kdb+ Engineer role.

Rezi rewrites your resume against Data Intellect's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior kdb+ Engineer posting at Data Intellect — free, in seconds.

About the Role

As a Senior kdb+ Engineer at [DI], you will be at the forefront of delivering high-performance, scalable solutions for data-intensive financial institutions. You will lead technical delivery, design and implement robust kdb+ architectures, collaborate with quants and traders, mentor junior developers, and own the full development lifecycle.

Responsibilities

  • 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.

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.
  • 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.

Skills

  • kdb+
  • q
  • time-series data
  • Unix/Linux environments
  • scripting
  • AI tooling (Claude, Co-Pilot)
  • Python
  • cloud platforms (AWS, GCP, Azure)
  • other time-series databases
  • tick data
  • real-time analytics
  • electronic trading systems

Location

  • London
  • New York
  • Hong Kong
  • Singapore
  • Toronto

Work Type

  • Hybrid
  • flexible working

Experience Level

  • Senior
  • 5+ years of hands-on kdb+ development
  • People management or team leadership experience

Benefits

  • Hybrid & flexible working
  • Global opportunities
  • 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
  • Flexible, increasing holiday allowance
  • Generous referral bonuses
  • exciting social events

About the Company

  • 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.
  • Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!

Equal Opportunity

  • We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.