Skills & stack
Languages
Python
Tools & Infra
Azure
GCP
Kubernetes
Skills
SQL
About the role
Data Engineer at Cognite, middle to senior level, based in Oslo with a hybrid work setup. The role supports data engineering solutions on Cognite Data Fusion and involves customer-facing work, integrations, extractions, data modeling, code reviews, and support for data engineering tasks.
Work format
Hybrid role in Oslo, Norway. Full-time position.
Skills and tools
- Python
- SQL
- Kubernetes
- GCP
- Azure
What to prepare
- Prepare examples of Python and SQL work on data pipelines.
- Have a short walkthrough ready for integrations, extractions, or data modeling work.
- Be ready to discuss Kubernetes and cloud service experience, including GCP and Azure.
Responsibilities
- Design and implement data engineering solutions on Cognite Data Fusion.
- Handle integrations, extractions, and data modeling.
- Build custom data models for discovery and cleansing.
- Perform code reviews.
- Support customers with data engineering tasks.
Requirements
- Python and SQL for data pipeline work.
- Kubernetes and cloud services experience.
- GCP and Azure experience.
- Background in customer-facing, data-intensive roles.
- Production-grade data pipeline development.
- DevOps work with Git and CI/CD.
Apply for this role
Send a short intro — the hiring team will review and respond.
C
Product
Cognite is an Oslo-founded industrial software company behind Cognite Data Fusion, an industrial DataOps platform used by energy and manufacturing companies to contextualize operational data.
- Location
- Oslo, Norway
- Team size
- 501-1000
- Remote policy
- Hybrid
Overview
- Seniority
- Middle–Senior
- Remote policy
- Hybrid
- Location
- Oslo, Norway
- Employment
- Full-time
- Posted
- Aug 13, 2026