kdb+ Developer

Posted Yesterday
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Singapore, SGP
In-Office
Junior
Big Data
The Role
Develop and maintain performant kdb+ applications for capital-markets clients, working with real-time and historical time-series data. Collaborate with business users, project managers, and senior developers to define requirements and deliver solutions. Analyze large-scale data, produce actionable reports, support testing and maintenance, and mentor junior developers. The role requires strong q and kdb+ expertise, Unix/Linux experience, software development lifecycle knowledge, and effective communication.
Summary Generated by Built In
Company Description

Take your kdb+ career to the next level with the world’s largest kdb+ consultancy!

Data Intellect work with world leading Capital Markets institutions, here you'll help solve complex data and technology challenges while learning from some of the industry's most experienced kdb+ specialists.

If you're passionate about building innovative solutions, thrive in collaborative environments and are eager to expand your kdb+ expertise, this is an opportunity to accelerate your growth!

Job Description

What You’ll Be Doing

  • Collaborating with business users to define new application requirements.
  • Developing, testing, and maintaining clean, performant code for client applications.
  • Supporting project delivery alongside Project Managers and senior developers.
  • Working as part of a close-knit team to deliver solutions on time and on budget.
  • Analysing large-scale time-series data and generating actionable reports.
  • Mentoring junior developers and contributing to a culture of continuous learning.

Qualifications

What You Bring

  • 2+ years of hands-on kdb+ development experience working with both real-time and historical data.
  • Solid understanding of q language and time-series data structures.
  • Experience working in Unix/Linux environments.
  • Strong logical thinking and problem-solving skills.
  • Familiarity with software development methodologies and the SDLC.
  • Comfortable working independently and collaboratively within a team.
  • Excellent communication skills to explain complex systems to technical and non-technical stakeholders
  • Prior experience of working in Capital Markets/Investment Banking is advantageous but not essential

Bonus Skills (Not Essential):

  • Experience in Capital Markets or Investment Banking.
  • Knowledge of Python, cloud platforms, or other time-series databases.
  • Exposure to AI tooling (Claude, Co-Pilot)
  • Exposure to project leadership or people management.
  • Contribution to internal tools, documentation, or community initiatives.

Additional Information

Why Join Data Intellect?

  • Hybrid & flexible working – balance your time between home and our global offices.
  • Professional development – access to paid training in technical and leadership skills.
  • Clear progression pathway – biannual promotion cycles and monthly 1:1s with your People Leader.
  • Global opportunities – work with teams in Belfast, London, New York, Hong Kong, Singapore and Toronto
  • 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.

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

Ready to grow your kdb+ career with us?

Challenge Accepted. Apply now.

Skills Required

  • 2+ years of hands-on kdb+ development experience with real-time and historical data
  • Solid understanding of the q language and time-series data structures
  • Experience working in Unix/Linux environments
  • Strong logical thinking and problem-solving skills
  • Familiarity with software development methodologies and the software development lifecycle
  • Ability to work independently and collaboratively within a team
  • Excellent communication skills with technical and non-technical stakeholders
  • Capital Markets or Investment Banking experience
  • Knowledge of Python, cloud platforms, or other time-series databases
  • Exposure to AI tooling such as Claude or GitHub Copilot
  • Exposure to project leadership or people management
  • Contributions to internal tools, documentation, or community initiatives
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The Company
HQ: Belfast
178 Employees

What We Do

Data Intellect build complete-system solutions for an array of industry applications and we’re always open to new challenges. Be it Fintech, Healthcare, Renewables or Telematics, to name a few, we love finding ingenious ways to help clients cultivate business ambitions, scale-up market offering and realize customer and investor expectations. We provide solutions to complex data problems in demanding environments for world leading organisations. Put simply - we turn big data problems into smart data solutions. So, what can we do for you?

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