Senior kdb+ Engineer (Hiring Immediately)

dataintellect
London

Company Description

Every query matters. Every millisecond counts. Every system you build shapes the future of data-driven finance.

Join the world’s leading kdb+ consultancy and work at the forefront of data and trading technology with some of the biggest names in Capital Markets. You'll tackle large-scale, complex challenges, contribute to the architecture of business-critical platforms and collaborate with highly skilled engineers who are passionate about technical excellence.

If you're a Senior kdb+ Engineer seeking greater technical ownership, exposure to demanding enterprise environments and the opportunity to shape innovative solutions, we'd love to hear from you.

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.

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!

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.

Know someone who works at [DI]? Ask them about our quick and easy referral process!

Ready to lead the next generation of high performance kdb+ solutions? Challenge Accepted. Apply now.

Posted 2026-11-12

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