Senior Data Engineer - Integration Lead, Supply Chain

📋 Description Architect standard integrations: design scalable pipelines from external logistics sources to ERP. Optimize the Integrated Supply Chain data model; define relationships across sources. Knowledge Graph Engineering: build/upgrade graph structures in Cognite Data Fusion for AI agents. Lead data extraction, modeling, and semantic ontology; ETL with Python/SQL/REST. Technical Consultation: consult customers on mapping supply chain topologies to data models. Collaborate with AI engineers to support ATLAS AI reasoning workflows. 🎯 Requirements 5-8 years in data-intensive, customer-facing roles with production-grade pipelines. REST APIs experience with logistics visibility platforms (FourKites, Project44) and related APIs. Deep knowledge of TMS, WMS, SAP MM/PP/PM or similar ERP modules. Knowledge Graph and relational modeling for complex data schemas. Python and SQL; experience on AWS, GCP, or Azure. Experience with Oracle and MSSQL databases. DevOps mindset: Git, CI/CD; write clean, scalable code. 🎁 Benefits Global CoE and opportunities to work with global customers and partners. Impactful projects at the forefront of industrial AI and data solutions. Collaborative, inclusive work environment with growth opportunities. Equal opportunity employer; commitment to diversity and inclusion.