Cognite Data Fusion (Cognite Data Engineer)

Role & responsibilities
• Experience with Cognite CDF or similar Digital Twin DataOps Platform, Data Exchange Architecture set-up for enterprise softwares
• Able to set up enterprise environments (dev/test/prod)
• Ensure secure, scalable ingestion, modeling, contextualization, and exposure of data products; govern standards (CFIHOS, ISO 14224/15926) and CI/CD patterns across waves.
• Define target architecture: extractors, RAW/Files/Time series landing, data models (Foundation & Solution), security (Entra ID), API access, and environments (dev/test/prod).
• Govern modeling & contextualization standards (tag registry, Data workflow, document parsing, 3D)
• Experience of deployment of SaaS services at large scale
• Orchestrate data products exposure and integration experience to handle engineering data sources; enforce versioning and lifecycle.
• Experience in architecture in industrial data platforms; strong Cognite CDF ( Or Similar Platform) (RAW, Data Models, Contextualization, Functions, APIs), Entra ID, Azure.

SKILLS AND EXPERTISE

Ingestion pipelines, Stream/Bulk ingest, Schema design, Semantic modeling, Foundation, Contextualization, Tag registry, Asset hierarchy, Knowledge graph, Entity linking, Relationship modeling

Preferred candidate profile

1 year or more Experience in Cognite Data Fusion