Senior Data Engineer, Microsoft Fabric & AI - GS1 Global Office

About GS1

GS1 is the neutral, not-for-profit organisation that develops and maintains the most widely used supply-chain standards in the world, starting with the barcode, which is scanned billions of times every day. Through its Global Office and a worldwide network of Member Organisations, GS1 helps retail, healthcare, logistics and technical industries identify, capture and share reliable data.

What You'll Actually Do

• Design and build scalable data platforms: pipelines, Lakehouse, Data Warehouse and semantic models on Microsoft Fabric and Azure, using reusable design patterns.
• Integrate data reliably with Fabric Data Pipelines, Azure Data Factory and APIs, and help drive migration and modernisation initiatives.
• Bring AI into production: build RAG pipelines (data preparation, chunking, embeddings, indexing, retrieval) that connect enterprise data to Claude and other approved LLM platforms, with accurate and traceable results.
• Prototype AI use cases with senior leaders: weigh business value, architecture, risk and guardrails, then monitor quality, performance and cost once the use cases are live.
• Deliver actionable BI: build Power BI dashboards, datasets and semantic models, and promote consistent definitions and measures across the organisation.
• Make quality and governance part of the design: data validation, observability, lineage, role-based access, data classification and responsible AI practices.
• Own production: CI/CD, automated testing, incident resolution, root-cause analysis, runbooks and recovery procedures.
• Lead technically: review code and designs, coach team members and explain trade-offs clearly to technical and non-technical audiences across a global organisation.

Who We're Looking For

• A bachelor's degree in computer science, data engineering, information systems or a related field, or equivalent professional experience.
• 5+ years in data engineering, BI or analytics, including real responsibility for production solutions.
• Strong hands-on experience with Microsoft Fabric, or significant experience with Azure Synapse, Databricks or a comparable cloud analytics platform.
• Practical experience building or supporting RAG pipelines and working with LLM APIs such as Claude, OpenAI or comparable platforms.
• A pragmatic, builder's mindset: you care about reliable outcomes, measurable value and good documentation.
• Sound judgement with sensitive and confidential data.
• Fluent written and spoken English.

Skills That Matter

• Advanced SQL (Azure SQL or equivalent); Python and/or PySpark.
• Power BI, DAX, dimensional modelling, data warehousing and enterprise semantic models.
• ETL/ELT with Azure Data Factory, Fabric Data Pipelines or comparable orchestration tools.
• Embeddings, vector search and vector databases, retrieval patterns, and integration of structured and unstructured data.
• Git, automated testing, CI/CD and production monitoring.
• Data security, role-based access control and privacy in cloud environments.
• Strong plus: Microsoft Fabric certification; Purview, OneLake, Azure DevOps or GitHub; Power BI administration and capacity management; cloud cost optimisation; hands-on use of Claude AI / Claude Code; AI governance and model evaluation; experience in a global, federated or matrixed organisation.

Why join GS1

• Work at the intersection of data engineering and applied AI, with a mandate to adopt modern tools such as Claude and Claude Code responsibly.
• Have a visible, global impact: your data products serve the GS1 Global Office and Member Organisations worldwide.
• Take a senior hands-on role where your technical leadership sets standards for the whole team.
• Join a mission-driven organisation with an international, multicultural environment, working across European and US time zones with occasional international travel.

Compensation & Benefits

• Salary range: 160-180 US dollars/year
• Full-time, permanent employment
• Hybrid (Ewing, New Jersey)