Data Engineer II
Norway (Oslo)
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor or Master degree in computer science or similar.
- Experience delivering production-grade data pipelines using e.g.
- Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
Qualification wording
Bachelor or Master degree in computer science or similar.
Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
Education & alternatives
- Minimum 3-5 years of relevant experience in a customer-facing Data intense role - Bachelor or Master degree in computer science or similar. - Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
Tools in this posting
- Python
- SQL
- Google Cloud (GCP)
- Kubernetes
- Java
- Azure
Source — Tool mentions in context
- Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion - Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs. - Create custom data models for data discovery, mapping, and cleansing.
- Bachelor or Master degree in computer science or similar. - Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs - Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs - Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure - Have a DevOps mindset, and experience with Git, CI/CD, deployment environment
Posting record
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- Live
- First seen by us
- Sep 29, 2026 · 16d ago
- Recorded sightings
- 7
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
- Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
- Conduct code reviews and implement best practices to ensure high-quality and 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 our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
- Minimum 3-5 years of relevant experience in a customer-facing Data intense role
- Bachelor or Master degree in computer science or similar.
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environment
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Norway (Oslo)
* Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. * We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site. * A pet lover? Get the chance to meet Spot at the Robot Garden!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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