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Cognite

Industrial data platform with AI

Data Engineer 2

Data EngineeringConfirmed live in the last 24 hours
Full-timeOslo, NorwayNo salary listedIn-person

About the Job

Requirements

  • Minimum 3–5 years of relevant experience in a customer-facing data-intensive role.
  • Bachelor's or Master's degree in Computer Science or a similar field.
  • Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
  • Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure.
  • DevOps mindset and experience with Git, CI/CD, and deployment environments.
  • Ability to independently investigate and solve problems.

Responsibilities

  • Lead the design and implementation of scalable and efficient data engineering solutions using Cognite Data Fusion.
  • Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python or Java, and REST APIs.
  • Create custom data models for data discovery, mapping, and cleansing.
  • Collaborate with data scientists, project managers, and solution architects on project deliveries to enable customers to realize the potential of the industrial DataOps platform.
  • Conduct code reviews and implement best practices to ensure high-quality, maintainable code and deliveries.
  • Support customers and partners in conducting data engineering tasks with Cognite products.
  • Contribute to the development of Cognite’s official tools and SDKs.
  • Collaborate with Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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