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Senior kdb+ Developer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
Posting language
English
Posted

Original job description

Company Description

Every query matters. Every millisecond counts. 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 seasoned kdb+ developer ready to lead, innovate, and make an impact, we want to hear from you.

Job Description

As a Senior kdb+ Developer 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 adjacent 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 - you can explain complex systems to both technical and non-technical stakeholders.
  • Experience in capital markets or investment banking - you understand the domain and its demands.
  • A passion for clean, performant code and continuous improvement.

Bonus Points For:

  • Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
  • Exposure to tick data, real-time analytics, or 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, and beyond.
  • Continuous learning – access to paid training, certifications, and leadership development.
  • Clear progression paths – biannual promotion cycles and regular 1:1s to support your growth.
  • Healthcare & wellbeing – provider dependent on region.
  • Referral bonuses, social events, and more – we work hard and celebrate harder.

About Us

Data Intellect is a specialist data and technology consultancy with deep roots 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+, data engineering, regulatory tech, and enterprise platforms and we’re growing fast.

Fair Employment & Equal Opportunities

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.

Ready to lead the next generation of kdb+ solutions?

Challenge Accepted. Apply now.

  • Department: Time Series Data
  • More about this job

    Responsibilities

    Lead technical delivery on client projects while designing and implementing robust kdb+ architectures for time-series data. Collaborate with quants and traders to translate business needs into performant code while mentoring junior developers.

    Requirements

    Requires 5+ years of hands-on kdb+ development experience with deep expertise in q and time-series data. Candidates must have a strong background in Unix/Linux environments and proven experience in capital markets or investment banking.

    Skills

    • Kdb+
    • Q
    • Time-series data
    • Unix
    • Linux
    • Scripting
    • Technical leadership
    • Capital markets
    • Investment banking
    • Python
    • AWS
    • GCP
    • Azure
    • Tick data
    • Real-time analytics
    • Electronic trading systems

    Benefits

    • Hybrid and flexible working
    • Global opportunities
    • Continuous learning
    • Paid training
    • Certifications
    • Leadership development
    • Clear progression paths
    • Healthcare
    • Wellbeing support
    • Referral bonuses
    • Social events

    Visa sponsorship

    Not detected in the job text

    Categories

    • Technology
    • Data & Analytics
    • Finance & Accounting
    • Software
    • Consulting

    Keywords

    • Kdb+
    • Q
    • Time-series data
    • Capital markets
    • Investment banking
    • Unix
    • Linux
    • Scripting
    • Python
    • AWS
    • GCP
    • Azure
    • Tick data
    • Real-time analytics
    • Electronic trading systems
    • Data engineering
    • Regulatory tech
    • Enterprise platforms
    • Technical leadership
    • Consultancy

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