Senior Data Engineer (supply chain)

About this role

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Skills you'll use

What you'll do

• As a Senior Data Engineer, you will be primary owner and architect, designing and packaging the "Data Pipelines" that powers industrial GenAI. Your mission is to build robust, standard integrations between Cognite Data Fusion (CDF) and the vast ecosystem of supply chain data—from internal SAP/ERP systems to external global visibility platforms like fourkites / project44 and market intelligence syndicates.
• Ensure the ingested data is structured , optimised and curated for consumption by the knowledge graph for the supply chain. Prepare and align ingested data for direct consumption by the supply chain knowledge graph, in line with Cognite's data management framework.
• You will be part of the CoE team working closely with our global customers and partner ecosystem across industries, and integrating and scaling the knowledge graph with optimised and packaged pipelines from customer and external systems. You will lead discovery workshops, and design sessions. You will incorporate new learning, usable across customers, in the packaged extractors for the supply chain.
• You will not just move data; you will shape it. You will own the evolution of our Integrated Supply Chain Solution Model, powered by the Cognite Data Fusion (CDF) Knowledge Graph ensuring that data model is optimized for traversal by autonomous AI agents.
• Work closely with Product, Value Delivery, and partner ecosystems to ensure packaged extractors and integrations are robust, scalable, and aligned with both technical standards and customer expectations
• - with product, to ensure alignment with product standards and quality. Make it product-ready
• - with Value Delivery, to support during initial rollouts or pilot deployments, providing technical depth where needed and helping troubleshoot data pipeline issues and develop a feedback process, in order to capture recurring issues, data quality gaps, and customer-specific constraints — and translate these into improvements to the packaged integrations
• - with partner ecosystem like fourkites/ Project44, AWS etc, work directly with technology partners to understand their data models, APIs, and connectivity options, and build reliable, well-documented extractors that bring relevant supply chain data into CDF. Also, collaborate with partners to validate integration assumptions, manage API changes, and progressively enhance packaged connectors as partner platforms evolve
• Core Responsibilities
• Architect Standard Integrations: Design, implement and package scalable data pipelines that ingest and normalize data from external logistics aggregators (& syndicate data sources) and internal systems (ERP/MES).

Who can apply

• Cognite Data Fusion (CDF): Direct experience with CDF Data Objects and the Industrial DataOps platform.
• Document & Unstructured Data Extraction: Experience extracting structured data from PDFs, scanned documents and images such as invoices, POs, delivery notes, certificates using OCR, document AI, or LLM-based extraction tools.
• Standards Awareness: Knowledge of ISA-95/ISA-88 , SCOR DS standards for integrating enterprise and control systems.
• ETL pipelines for Market Intelligence data: Experience building ETL with commodity pricing, weather, or risk-syndicate data to support supply chain resilience.
• Learn more about us
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
• Equal Opportunity
• Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

About Cognite - AI for Industry

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