Senior Data Engineer, Microsoft Fabric & AI - GSGlobal Office

Engineering/Technical
· USA (Ewing, New Jersey)
· Hybrid

Senior Individual Contributor | Microsoft Fabric
· Azure
· Power BI
· RAG & LLMs (Claude) | Ewing, NJ – Hybrid

GS1 is not looking for someone to maintain a few dashboards. It is looking for a hands-on senior engineer to shape how a global standards organisation uses its data and puts AI into production, responsibly.

You’ll join the Business Intelligence & Data Analytics (BIDA) team and work across three areas: modern data engineering on Microsoft Fabric
, business intelligence with Power BI
, and AI-enabled data solutions that connect approved enterprise data to large language models, including Claude AI
.

This role is for you if you want real technical ownership. You would set the engineering standards, advise senior leaders on AI use cases and see your work used across a global network.

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.

• 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.

• 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.

• Advanced SQL (Azure SQL or equivalent);
  Python and/or Py Spark .

• 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…