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

Adaequatio Services

Trenton (NJ)

Hybrid

USD 160,000 - 180,000

Full time

13 hours ago
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Benefits offered by this job

Hybrid work
Global impact

Job summary

GS1 Global Office in New Jersey is seeking a hands-on Senior Data Engineer to design scalable data platforms using Microsoft Fabric, Azure Data Factory and Power BI to deliver trusted data products at scale.

You will own production data pipelines, govern data quality and lead AI-enabled data solutions that connect enterprise data to LLMs like Claude, while guiding senior leaders on value, risks and governance across a global network.

Qualifications

  • Bachelor's degree in computer science, data engineering or related field.
  • 5+ years in data engineering, BI or analytics with production responsibility.
  • Hands-on with Microsoft Fabric or Azure Synapse/Databricks or comparable cloud analytics platform.
  • Experience building or supporting RAG pipelines and working with LLM APIs like Claude/OpenAI.
  • Fluent written and spoken English.

Responsibilities

  • Design and build scalable data platforms: pipelines, Lakehouse, Data Warehouse and semantic models on Fabric and Azure.
  • Integrate data with Fabric Data Pipelines, Azure Data Factory and APIs, supporting migration and modernisation.
  • Bring AI into production: build RAG pipelines connecting enterprise data to Claude and other LLM platforms.
  • Prototype AI use cases with senior leaders, weighing value, architecture, risk and guardrails.
  • Deliver actionable BI: build Power BI dashboards, datasets and semantic models.
  • Ensure governance: data validation, observability, lineage, access controls and responsible AI practices.
  • Own production: CI/CD, automated testing, incident resolution, runbooks and recovery.
  • Lead technically: review code, coach team members, explain trade-offs to diverse audiences.

Skills

Advanced SQL
Python / PySpark
Power BI / DAX
Azure Data Factory
Fabric Data Pipelines
Data Warehousing
Data governance

Education

Bachelor's degree in CS or related field

Tools

Microsoft Fabric
Azure Synapse
Databricks
Claude / LLM APIs

Job description

  • Full-time, permanent employment
  • USA (Ewing, New Jersey)
  • Hybrid
Senior Data Engineer - Microsoft Fabric & AI - GS1 Global Office

Build the data and AI backbone of the organisation behind the barcode, used by millions of companies worldwide.

Senior Individual Contributor | Microsoft Fabric
The opportunity

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.

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 organization.
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 organization.
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)
Recruitment process
  • CV screening by Adaequatio Services
  • Teams interview: a short conversation about the role, your background and mutual fit.
  • 3 Interviews with the hiring manager and other stakeholders
  • Reference check

GS1 is an Equal Opportunity Employer committed to a respectful, inclusive workplace. Reasonable accommodations are available throughout the recruitment process.

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