Data Engineer, Analytics Engineering 

Overview

In this role you shape canonical and semantic data layers to power analytics, AI, reporting, and self-service capabilities within PBWM. You’ll join a data products factory, collaborating with business, technology, and functions to create trusted, governed data assets. You’ll influence how data is structured, governed, and consumed, delivering scalable data architecture and reusable products. The position blends hands-on engineering with a strategic data governance focus, with hybrid work in London/Edinburgh.

Pay / Benefits

• hybrid work
• remote work
• London/Edinburgh office
• collaborative culture

Responsibilities

• Translate stakeholder needs into canonical and semantic data models
• Design and evolve standardized cross-domain data models (party, account, deposits, mortgages)
• Build and maintain governed analytical data products with clear documentation and discoverability
• Implement data quality checks, SLAs, and governance practices for accuracy and compliance
• Collaborate with data architects, engineers, BI teams, and data scientists to ensure scalable, performant models on the cloud
• Develop data-driven solutions and reusable data assets to support analytics, AI, and reporting

Key requirements

• Significant experience as Analytics Engineer, BI Engineer, or Data Architect in complex data environments
• Proven management of governed data products with ownership, SLAs, and quality control
• Strong data modelling and canonical data modeling across multiple systems
• Excellent SQL and data modelling on modern formats like Iceberg on AWS
• Hands-on experience with transformation-as-code, testing, version control, and automated deployment
• Ability to communicate complex data concepts to non-technical stakeholders

• strong communication
• collaboration
• stakeholder engagement
• SQL
• data modelling
• Apache Iceberg

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