KDB+/q Data Engineer — Scalable Pipelines & Analytics

UBS Group AG

City of Westminster

On-site

GBP 90,000 - 120,000

Full time

5 days ago
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Job summary

UBS Group AG is seeking a skilled data engineer to develop and maintain KDB+/q based data solutions in a global finance setting. You will build data pipelines, models and reporting datasets, and work with business stakeholders to translate requirements into scalable analytics.

The role emphasizes investigation of complex data challenges, production support, and collaboration with engineering teams to modernize the data platform, with a focus on data quality and performance.

Qualifications

  • 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.

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.

Skills

KDB+/q development
Trade data in investment banking
Analytical problem-solving
Large datasets
Linux environments
Production applications support
Communication with stakeholders
AI workflow curiosity

Job description

UBS Group AG is seeking a skilled data engineer to develop and maintain KDB+/q based data solutions in a global finance setting. You will build data pipelines, models and reporting datasets, and work with business stakeholders to translate requirements into scalable analytics.

The role emphasizes investigation of complex data challenges, production support, and collaboration with engineering teams to modernize the data platform, with a focus on data quality and performance.

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