kdb+ Engineer - Hybrid, Capital Markets in Belfast

kdb+ Engineer - Hybrid, Capital Markets in Belfast

Belfast Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Data Intellect

At a Glance

  • Tasks: Develop performant kdb+ code and analyse large-scale time-series data.
  • Company: Join the world's largest kdb+ Consultancy in a supportive environment.
  • Benefits: Hybrid working, continuous learning, and clear career progression.
  • Other info: Mentorship opportunities and a dynamic team culture.
  • Why this job: Engage with industry leaders and work on impactful projects.
  • Qualifications: Experience in kdb+ development and strong analytical skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Data Intellect is looking for a kdb+ developer in Belfast to join the world's largest kdb+ Consultancy. You will engage with leading figures in Capital Markets while working on impactful projects in a supportive environment.

Responsibilities include:

  • Collaborating with business users
  • Developing performant code
  • Mentoring juniors
  • Analyzing large-scale time-series data

The role offers hybrid working, continuous learning opportunities, and clear pathways for career progression.

kdb+ Engineer - Hybrid, Capital Markets in Belfast employer: Data Intellect

At Data Intellect, we pride ourselves on fostering a collaborative and innovative work culture that values problem-solving and humility. As a Remote kdb+ Developer, you'll not only contribute to cutting-edge trade surveillance solutions but also benefit from mentorship opportunities and a supportive team environment that encourages personal and professional growth. Join us in a role where your contributions are valued, and you can make a meaningful impact in the financial technology landscape.

Data Intellect

Contact Details:

Data Intellect Recruitment Team

We think you need these skills to ace kdb+ Engineer - Hybrid, Capital Markets in Belfast

kdb+ Development
Capital Markets Knowledge
Code Performance Optimisation
Mentoring Skills
Time-Series Data Analysis
Collaboration with Business Users
Continuous Learning