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.