Data Engineer II
Cognite - AI for Industry2 months ago
Oslo, NorwayMid Level / Senior
Responsibilities
- Design and implement scalable data engineering solutions using Cognite Data Fusion.
- Drive integrations, data extraction, data modeling, and analysis using Cognite data connectors, SQL, Python, Java, and REST APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers, solution architects, engineering, and product management on customer deliveries and product offerings.
- Conduct code reviews and implement practices for high-quality, maintainable code and deliveries.
- Support customers and partners with data engineering tasks using Cognite products.
- Contribute to Cognite’s official tools and SDKs.
Requirements
- 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 or Azure.
- Experience with Git, CI/CD, and deployment environments.
- Ability to work cross-functionally and independently investigate and solve problems.
Benefits
- Access to private health services through Cognite Care.
- Subsidized lunch at the Fornebuporten canteen.
- Exclusive coffee bar and refreshments.
- Broad mental and physical health offering, including free membership to the on-site gym.
- International and diverse working environment with access to decision-makers and ambitious cross-industry projects.
Categories
Data Engineering
About Cognite - AI for Industry
Cognite builds an industrial data and AI platform used by energy, manufacturing, and power & utilities companies to integrate OT/IT data and deploy AI at scale. Its flagship product, Cognite Data Fusion, is sold as enterprise SaaS with services for implementation and Industrial AI agents. Founded in 2016 and privately held, the company focuses on asset-intensive operations and Industrial DataOps.