Senior Data Engineer: Supply Chain Data Platform

Quantiphi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Quantiphi is seeking a data engineer to build and maintain trusted data products for supply chain and distribution teams. You’ll bring information from multiple source systems together, shape it into consistent models, and support reporting and a scalable data platform.

You will ingest and transform data from various sources, maintain Microsoft Fabric lakehouses and Power BI models, and translate business needs from ERP systems into centralized data sources.

Qualifications

• Bachelor’s degree in a relevant technical field or equivalent education.
• At least six years of experience in data engineering or analytics.
• Strong SQL skills and familiarity with Microsoft Fabric and Power BI data modeling and reporting.
• Knowledge of data modeling, governance, and quality management.
• Experience consolidating data and translating complex business needs into technical solutions.
• Strong communication skills across business and technical teams.

Responsibilities

• Turn business needs into technical data solutions, explaining data structures and limitations clearly to stakeholders.
• Ingest and transform data from multiple sources for reporting.
• Maintain Microsoft Fabric lakehouses, warehouses, and Power BI semantic models.
• Map data and business logic from different ERP systems into centralized database sources.
• Deliver data work to agreed timelines and contribute to the ongoing development of the warehouse and reporting platform.

Skills

SQL

Data modeling

Communication

Education

Bachelor's degree in a relevant technical field

Tools

Power BI

Microsoft Fabric

Job description

Quantiphi is seeking a data engineer to build and maintain trusted data products for supply chain and distribution teams. You’ll bring information from multiple source systems together, shape it into consistent models, and support reporting and a scalable data platform.

You will ingest and transform data from various sources, maintain Microsoft Fabric lakehouses and Power BI models, and translate business needs from ERP systems into centralized data sources.