KDB Data Engineer
Data engineer on UBS Investment Bank's Financing Data & Analytics team in London, developing KDB+/q data solutions, pipelines, models and analytics for large-scale trade and position data, while supporting business-critical production applications. Core stack: KDB+/q and Linux.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Extensive hands-on KDB+/q development experience
- Experience working with trade data in an Investment Banking environment
- Strong analytical and problem-solving skills for complex data challenges
- Experience working with large and complex datasets
- Good understanding of Linux environments
- Experience supporting business-critical production applications
- Excellent communication skills with technical and business stakeholders
- Curiosity to explore AI for improving workflows, validating outputs and aligning with policies, risk standards and ethical use
Full description
- develop and maintain KDB+/q based data solutions and analytics
- build and enhance data pipelines, data models and reporting datasets
- analyse and process large-scale data sets
- partner with business stakeholders to understand requirements and deliver effective solutions
- investigate complex data issues and drive root-cause analysis
- support production applications and contribute to platform stability, performance and data quality
- collaborate with engineering teams to improve and modernize the broader data platform
Job Type
Full Time
Job Reference #
344845BR
City
London
Key Responsibilities
- develop and maintain KDB+/q based data solutions and analytics
- build and enhance data pipelines, data models and reporting datasets
- analyse and process large-scale data sets
- partner with business stakeholders to understand requirements and deliver effective solutions
- investigate complex data issues and drive root-cause analysis
- support production applications and contribute to platform stability, performance and data quality
- collaborate with engineering teams to improve and modernize the broader data platform
The team
The Financing Data & Analytics team develops and supports data products, analytics and reporting capabilities used across the Investment Bank's Financing business.
We work with large-scale trade and position data, partnering closely with business stakeholders and technology teams to solve complex data challenges and deliver scalable data solutions. Our team values analytical thinking, problem solving, collaboration and a strong sense of ownership.
Your Skills And Experience
- extensive hands-on KDB+/q development experience
- experience working with trade data within an Investment Banking environment
- strong analytical and problem-solving skills with the ability to investigate complex data challenges
- experience working with large and complex datasets
- good understanding of Linux environments
- experience supporting business-critical production applications
- excellent communication skills and the ability to work effectively with both technical and business stakeholders
- you're curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment - validating outputs and aligning with policies, risk standards, and ethical use
About Us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.