Senior Data Engineer, Microsoft Fabric & AI

Role Summary

GS1 Global Office is seeking a Senior Data Engineer, Microsoft Fabric & AI to join the Business Intelligence and Data Analytics team. The role will design, build and support secure, scalable enterprise data and analytics solutions using Microsoft Fabric, Azure data services and Power BI. It will also develop AI-enabled data pipelines that connect approved enterprise data with large language model platforms, including Claude AI and other approved enterprise AI tooling.

This is a senior, hands-on individual-contributor role combining data engineering, business intelligence, AI-enabled solution development and production support. The role will provide technical leadership, establish reusable engineering standards and work with stakeholders across GS1 Global Office and Member Organisations to translate business needs into reliable, well-governed data products.

Responsibilities

Data engineering and architecture

• Design, develop and maintain scalable data pipelines using Microsoft Fabric and Azure data services.

• Build and support Lakehouse, Data Warehouse and semantic model solutions using appropriate architecture and reusable design patterns.

• Develop reliable data integration processes using Microsoft Fabric Data Pipelines, Azure Data Factory, APIs and other approved integration methods.

• Support migration and modernisation initiatives involving Microsoft Fabric and Azure analytics services.

• Optimise data processing performance, scalability, maintainability and cost efficiency.

• Contribute to enterprise data architecture decisions and the evolution of shared data models and analytics standards.

AI-enabled data solutions

• Design and build retrieval-augmented generation pipelines that securely connect approved enterprise data to Claude AI and other approved large language model platforms.

• Develop data preparation, chunking, embedding, indexing and retrieval processes that support accurate and traceable AI-enabled search and analytics.

• Support the responsible adoption of approved enterprise AI and development tools, including Claude AI and Claude Code, with secure data-handling and access patterns.

• Evaluate and prototype AI-enabled analytics use cases with senior leaders and technical stakeholders, considering business value, architecture, risk and guardrails.

• Monitor and improve AI pipeline reliability, quality, performance and cost in line with GS1 governance standards.

• Maintain appropriate documentation, traceability and human oversight for AI-enabled solutions.