KDB+ Engineer

Stott and May; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Stott and May in London is seeking an experienced KDB+ Engineer to join a fast-growing technology business. You will work on high-performance time-series data and take ownership of challenging data problems.

This hands-on role spans the full development lifecycle, collaborating with clients and engineers to deliver robust kdb+ and q solutions.

Qualifications

• Knowledge of q and time-series data structures.
• Experience working in Unix/Linux environments.
• Strong analytical, logical and problem-solving skills.
• Understanding of software development methodologies and the SDLC.
• Ability to work independently and as part of a team.

Responsibilities

• Developing and optimising kdb+ / q solutions for high-volume, time-series data.
• Designing and implementing scalable, high-performance data solutions.
• Working across the full software development lifecycle, from requirements through to deployment and support.
• Collaborating with engineers, stakeholders and clients to understand problems and develop effective solutions.
• Troubleshooting complex technical issues and continuously improving system performance.
• Contributing to best practices around development, testing and delivery.
• Taking ownership of projects and working independently while contributing to a wider engineering team.

Skills

q

time-series data

Unix/Linux

analytical thinking

SDLC

teamwork

Job description

We’re working with a fast-growing technology business that is looking for an experienced KDB+ Engineer to join its team in London.

This is an opportunity for a hands-on engineer who enjoys working with high-performance, time-series data and wants to solve complex technical problems in a collaborative, client-focused environment.

You’ll work across the full development lifecycle, designing and developing solutions using kdb+ and q, while working closely with both technical teams and clients to understand requirements and deliver robust solutions.

What you’ll be doing

• Developing and optimising kdb+ / q solutions for high-volume, time-series data.
• Designing and implementing scalable, high-performance data solutions.
• Working across the full software development lifecycle, from requirements through to deployment and support.
• Collaborating with engineers, stakeholders and clients to understand problems and develop effective solutions.
• Troubleshooting complex technical issues and continuously improving system performance.
• Contributing to best practices around development, testing and delivery.
• Taking ownership of projects and working independently while contributing to a wider engineering team.

What they’re looking for

• Knowledge of q and time-series data structures.
• Experience working in Unix/Linux environments.
• Strong analytical, logical and problem-solving skills.
• Understanding of software development methodologies and the SDLC.
• Ability to work effectively both independently and as part of a team.

You’ll be joining a technically strong environment where you’ll have the opportunity to work on challenging data problems, develop your technical expertise and have direct impact on client solutions.