Senior KDB+ Data Engineer for Finance Analytics, Hybrid

Iris Software Inc.; Greater London; Hybride; GBP 95 000 - 135 000; Plein temps

Résumé du poste

Iris Software Inc. is seeking a data solutions professional in London to develop and maintain KDB+/q-based systems for CCAR and analytics. You will work with large financial datasets, transform data, and ensure robust data quality in a hybrid London setting.

Responsibilities include building q scripts, performing data onboarding, and collaborating with business and technical teams to deliver efficient analytics and data distribution across applications. Linux/Unix experience is preferred.

Qualifications

• Strong experience with KDB+/q programming and SQL data processing.
• Proficiency in Python or Java is preferred for integration tasks.
• Experience handling large-scale time-series or financial data in Linux/Unix environments.

Responsabilités

• Develop and maintain KDB+/q-based data solutions for CCAR, analytics, and enterprise data needs.
• Build q scripts, queries, and data processes for loading, transforming, querying, and distributing large datasets.
• Perform data onboarding, validation, cleansing, transformation, and quality checks within KDB+ environment.
• Collaborate with business and technical users to translate data requirements into scalable analytics solutions.
• Support reporting and downstream data distribution, including end-to-end data flows and application integrations.

Connaissances

KDB+/q

SQL

Python

Java

Description du poste

Iris Software Inc. is seeking a data solutions professional in London to develop and maintain KDB+/q-based systems for CCAR and analytics. You will work with large financial datasets, transform data, and ensure robust data quality in a hybrid London setting.

Responsibilities include building q scripts, performing data onboarding, and collaborating with business and technical teams to deliver efficient analytics and data distribution across applications. Linux/Unix experience is preferred.