Kdb+/Q Engineer

Citadel Securities; Dublin; On-site; EUR 70,000 - 100,000; Full time

Job summary

Citadel Securities in Dublin is seeking a Kdb+/Q Engineer to design high-performance data platforms for trading and quantitative research. This role involves developing solutions for real-time and historical market data, collaborating with traders and engineers.

The ideal candidate will have a strong background in Kdb+/Q, programming proficiency (Python, Java, C++), and a Bachelor's degree in a related field. Join us to contribute to critical trading and analytics workflows.

Qualifications

• Strong experience developing production applications using Kdb+/Q at scale.
• Experience building market data, analytics, electronic trading, or quantitative research platforms.
• Strong Linux and distributed systems knowledge.

Responsibilities

• Design and build high-performance Kdb+/Q platforms for trading workflows.
• Partner with traders and researchers to deliver impactful technology.
• Contribute to the architecture of Global Trading Applications platform.

Skills

Kdb+/Q development

Market data analytics

Electronic trading

Python

Java

C++

Linux

Distributed systems

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field

Job description

As a Kdb+/Q Engineer within our Global Trading Applications team, you will design and build data and analytics platforms that power trading and quantitative research across global markets. Working closely with traders, quantitative researchers, and engineers, you will develop high-performance solutions for real-time and historical market data at significant scale. This role offers the opportunity to work on a large-scale Kdb+/Q environment supporting critical trading, research, and analytics workflows.

Responsibilities

• Design and build high-performance Kdb+/Q platforms that support real‑time research, streaming analytics, and trading workflows across global markets
• Partner directly with traders, quantitative researchers, and engineers to deliver technology that drives business outcomes
• Develop scalable solutions for large‑scale market data, time‑series analytics, and distributed computing challenges
• Contribute to the architecture and evolution of our Global Trading Applications platform, which supports trading, data, and analytics workflows across the firm
• Drive engineering excellence through thoughtful design, automation, and operational best practices

Qualifications

• Strong experience developing production applications using Kdb+/Q at scale
• Experience building market data, analytics, electronic trading, or quantitative research platforms
• Proficiency in one or more programming languages such as Python, Java, or C++
• Strong Linux and distributed systems knowledge
• Ability to collaborate effectively with technical and front‑office stakeholders
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field