Data Engineer II — Industrial Data & AI Platform (Hybrid)

Greenhouse Software, Inc.; Oslo; Hybrid; NOK 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Private health services

Subsidized lunch

Fully-staffed gym on-site

Cognite exclusive coffee bar

DEI-focused organization

Lunch at canteen

Office in Oslo

Pet-friendly spaces

Job summary

Cognite is seeking a Data Engineer to tackle big challenges and advance their career within a team delivering scalable data solutions for heavy industries. You’ll work on data pipelines, modeling, and integrations that empower customers to leverage their industrial data assets.

You’ll collaborate with data scientists, solution architects, and PMs to build robust, production-grade solutions using Python, SQL, and REST APIs, while embracing a DevOps mindset and modern cloud tools in a hybrid

Qualifications

• Production-grade data pipelines using Python, SQL, and REST APIs.
• Experience with distributed computing and cloud services (Kubernetes, GCP/Azure).
• DevOps mindset with Git, CI/CD, and deployment environments.
• Ability to work in cross-functional teams and solve problems independently.

Responsibilities

• Lead design and implementation of scalable data engineering solutions on Cognite Data Fusion.
• Drive integrations, data modeling, and analysis using connectors, SQL, Python/Java, and REST APIs.
• Create data models for discovery, mapping, and cleansing.
• Collaborate with data scientists, project managers, and architects to deliver data-driven solutions.
• Conduct code reviews and enforce best practices for high-quality code and deliveries.
• Support customers and partners in data engineering tasks with Cognite products.
• Contribute to Cognite's official tools and SDKs.
• Turn customer needs into a prioritized product backlog with engineering and PM teams.

Skills

Python

SQL

REST APIs

DevOps mindset

Cross-functional teamwork

Education

Bachelor's or Master's in Computer Science

Tools

Kubernetes

GCP

Azure

Git

Job description

Cognite is seeking a Data Engineer to tackle big challenges and advance their career within a team delivering scalable data solutions for heavy industries. You’ll work on data pipelines, modeling, and integrations that empower customers to leverage their industrial data assets.

You’ll collaborate with data scientists, solution architects, and PMs to build robust, production-grade solutions using Python, SQL, and REST APIs, while embracing a DevOps mindset and modern cloud tools in a hybrid