kdb+ Engineer

Data Intellect; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid & flexible working

Paid training and certifications

Biannual promotion cycles

Generous referral bonuses

Healthcare & wellbeing

Job summary

Data Intellect is looking for a kdb+ developer in Singapore to work in a collaborative environment. The role involves developing, testing, and maintaining code for client applications, while actively mentoring junior developers. You'll contribute to impactful projects leveraging your expertise in time-series data.

This position offers a hybrid and flexible working arrangement, enabling you to balance remote work with global opportunities. Data Intellect emphasizes continuous learning and clear career progression as key benefits for their employees.

Qualifications

• 2+ years of hands-on kdb+ development experience.
• Solid understanding of q language and time-series data structures.
• Experience in Capital Markets or Investment Banking is advantageous.

Responsibilities

• 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 Engineers.

Skills

kdb+ development experience

Unix/Linux environments

logical thinking

problem-solving skills

Tools

Python

cloud platforms (AWS, GCP, Azure)

Job description

Join the world’s largest kdb+ Consultancy where you’ll work with some of the biggest names in Capital Markets and continue to elevate your expertise solving complex challenges in an environment built on collaboration, knowledge sharing and continuous learning.

If you’re a kdb+ developer ready to deepen your skills, contribute to impactful projects and grow in a supportive, high-performance environment – this is your opportunity!

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 Engineers.
• Working as part of a close-knit team to deliver solutions on time and on budget.
• Analyzing 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.
• 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.
• Experience in Capital Markets or Investment Banking is advantageous.

Bonus Skills (Not Required):

• Experience with AI tooling (Claude, Co-Pilot)
• Knowledge of Python, cloud platforms (AWS, GCP, Azure), or other time-series databases.
• Exposure to project leadership or people management.

Contribution to internal tools, documentation, community initiatives.

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.

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.