At a Glance
- Tasks: Design and evolve enterprise-scale kdb+ architectures while driving technical decisions.
- Company: Highly respected financial technology organisation investing in market data and analytics.
- Benefits: Influence design decisions, work with top kdb+ specialists, and enjoy excellent progression opportunities.
- Other info: Confidential conversations welcome for those curious about future opportunities.
- Why this job: Join a small market with rare opportunities to make a significant impact.
- Qualifications: 7+ years of kdb+ development experience and strong Unix/Linux knowledge.
The predicted salary is between 63000 - 77000 £ per year.
The best kdb+ talent isn't usually actively applying for jobs.
They're busy solving complex problems, building scalable real-time systems, and making critical architectural decisions that power some of the world's fastest-moving financial environments.
If that's you, or if you've started thinking about what your next move could look like later this year, this opportunity is worth a conversation.
We're partnering with a highly respected financial technology organisation investing heavily in its market data and analytics platforms.
It's an opportunity to join a business where kdb+ sits at the heart of the platform and where your expertise will directly influence design decisions, performance improvements, and the direction of the wider engineering team.
- What You'll Be Doing
- Designing and evolving enterprise-scale kdb+ architectures
- Working with vast volumes of real-time and historical market data
- Driving technical decisions and influencing architecture strategy
- Collaborating with senior stakeholders across technology and the business
- Mentoring engineers and helping shape engineering best practices
- Leading initiatives focused on scalability, performance, and innovation
What We're Looking For
- 7+ years of hands-on kdb+ development experience
- Deep expertise in q and time-series databases
- Proven experience designing and scaling production kdb+ environments
- Strong Unix/Linux and scripting knowledge
- Technical leadership experience and confidence making architectural decisions
- Excellent communication skills and the ability to engage both technical and non-technical audiences
- Experience within capital markets, electronic trading, market data, or investment banking environments
- A genuine passion for engineering excellence and continuous improvement
Some Nice to Have's
- Experience with AI development tools such as Git Hub Copilot or Claude
- Exposure to AWS, Azure, or GCP
- Experience with tick data, real-time analytics, or electronic trading platforms
- Previous team leadership or people management experience
- Exposure to other time-series database technologies
Why This Role?
The kdb+ market is small. Great opportunities are even smaller.
If you've reached the point where you're looking for
- More influence over technical direction
- Better progression opportunities
- The chance to work alongside some of the brightest kdb+ specialists in the market
Then this could be the right next step.
Whether you're actively exploring now or simply curious about what opportunities are available for later this year, I'd welcome a confidential conversation.
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Senior KDB Developer employer: Airswift
Join a forward-thinking company in the oil and gas sector, where as a Principal Structural Engineer in Aberdeen, you will thrive in a supportive work culture that values innovation and collaboration. Enjoy competitive benefits, opportunities for professional development, and the chance to work on impactful projects that shape the industry. With a focus on safety and ethics, this role offers a meaningful career path in a vibrant location known for its engineering excellence.
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We think this is how you could land Senior KDB Developer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior KDB Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Airswift
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
