kdb+ Engineer

Data Intellect; New York (NY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid & flexible working

Continuous learning opportunities

Generous holiday allowance

Health and wellbeing benefits

Job summary

Data Intellect in New York is looking for a skilled developer specializing in kdb+. This role involves collaborating with teams to deliver applications, analyzing data and mentoring juniors, with hybrid working options available.

The ideal candidate has over 2 years of hands-on experience in kdb+, strong communication skills, and familiarity with capital markets. Join us for a role that offers continuous learning and career growth.

Qualifications

• 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.
• Excellent client-facing communication skills.

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.
• Analysing large-scale time-series data and generating actionable reports.

Skills

kdb+ development experience

q language

Unix/Linux environments

logical thinking

problem-solving skills

client-facing communication

Tools

AI tooling (Claude, Co‑Pilot)

Python

cloud platforms (AWS, GCP, Azure)

Job description

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.
• 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.
• 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 client‑facing communication skills.
• 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.

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.