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Data Intellect

Turns big data into smart solutions

Senior kdb+ Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on kdb+ development, including expertise in q and time-series data.
  • Experience designing and implementing kdb+ architectures and scaling kdb+ systems in production.
  • A strong background in Unix/Linux environments and scripting.
  • Technical leadership and decision-making experience in fast-paced projects.
  • Experience in capital markets or investment banking, including understanding of the domain and its demands.

Responsibilities

  • Lead technical delivery on client projects and set standards for quality and performance.
  • Design and implement kdb+ architectures capable of handling 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.
  • Develop, test, support, and maintain code for client applications across the full development lifecycle.
  • Stay current with kdb+, q, and emerging technologies to drive innovation.

Desired Qualifications

  • Experience with AI tools such as Claude or Copilot.
  • Experience with Python, cloud platforms such as AWS, GCP, or Azure, or other time-series databases.
  • Exposure to tick data, real-time analytics, or electronic trading systems.
  • People-management or team-leadership experience.

About the Company

Data Intellect

Turns big data into smart solutions

Data Intellect builds complete-system data solutions across industries such as Fintech, Healthcare, Renewables and Telematics. They design and implement end-to-end data platforms and applications that collect, store, process, and analyze data to help clients turn big data problems into actionable insights and products. Their offerings cover diverse data challenges in demanding environments, delivering integrated solutions rather than isolated components. This makes them stand out by applying cross-industry experience to build tailored systems that align with client goals and stakeholder expectations. The company’s objective is to help clients grow their business, scale offerings, and meet customer and investor expectations through practical, data-driven outcomes.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Belfast, United Kingdom
Founded
2011

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