At a Glance
- Tasks: Design and optimise high-performance data platforms using kdb+.
- Company: Join Luxoft, a leader in tech innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with mentorship and career advancement opportunities.
- Why this job: Make an impact in finance by developing scalable solutions with cutting-edge technology.
- Qualifications: Extensive kdb+ experience and strong q programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Luxoft is hiring for a Senior KDB Developer to design, develop and optimize high performance data platforms built on kdb+.
The ideal candidate will have deep expertise in kdb+ tick architecture, performance tuning at scale and close collaboration with business stakeholder - particularly within Risk functions - to deliver robust, efficient and maintainable solutions.
- What You'll Be Doing
- Design, develop, and maintain enterprise-grade kdb+ tick architectures
- Build and optimize platforms handling large-scale, high-frequency datasets
- Drive performance improvements across q queries, data models, and ingestion pipelines
- Partner closely with business stakeholders and Risk teams to deliver scalable solutions
- Lead technical best practices, code quality initiatives, and performance benchmarking
- Mentor developers and contribute to a culture of technical excellence
- Participate in architecture reviews, production support, and complex problem resolution
- Work within Agile delivery teams from design through deployment
What We're Looking For
- Extensive hands-on kdb+ development experience in production environments
• Strong expertise in q programming, including
- Splayed, partitioned, and segmented table design
- In-memory vs. on-disk architecture decisions
- Efficient joins, aggregations, and analytics
• Deep understanding of kdb+ Tick Architecture
- Ticker Plant
- RDB
- HDB
- Proven experience optimizing performance and scalability for large datasets
- Strong Unix/Linux skills with shell scripting expertise
- Nice to Have
- Experience with kdb+ IPC and external system integrations
- Low-latency and high-availability system tuning
- Data quality frameworks and operational resilience practices
- Knowledge of financial markets, market data, trading, risk, or post-trade workflows
- Passion for writing clean, maintainable, and efficient code
- #J-18808-Ljbffr
KDB Developer employer: Luxoft
Luxoft is an excellent employer that fosters a dynamic and collaborative work culture, particularly for those passionate about market risk analytics. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive agile environment. Located in the United Kingdom, Luxoft offers a unique blend of professional development and a vibrant team atmosphere, making it an ideal place for skilled developers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land KDB Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Luxoft!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like KDB Developer at Luxoft.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Luxoft.
✨Apply Directly through Our Website
When you find a suitable opening like KDB Developer at Luxoft, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Luxoft, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Luxoft. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Luxoft
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Luxoft!
✨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.
