Senior Data Engineer, Microsoft Fabric & AI - GS1 Global Office
About The Position
Build the data and AI backbone of the organisation behind the barcode, used by millions of companies worldwide. This role is 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 offers real technical ownership, where you would set the engineering standards, advise senior leaders on AI use cases and see your work used across a global network.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- Salary range: 160-180 US dollars/year
- Full-time, permanent employment
- Hybrid (Ewing, New Jersey)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
