Senior Data Engineer
Norway (Oslo)
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will collaborate closely with cross-functional teams, driving data-driven solutions that enable our clients to make impactful business decisions.
From the employer’s posting
How you’ll demonstrate Ownership As a Senior Data Engineer in Cognite, your role will be to create and deliver solutions to the biggest problems challenging our industrial customers today by designing, developing and implementing data infrastructure and best-in-class pipelines that collect and connect data from various data sources. In this role, you will not only be responsible for designing and implementing robust data pipelines and architectures but also have the potential to evolve into a Lead, guiding and mentoring a team of data engineers. You will collaborate closely with cross-functional teams, driving data-driven solutions that enable our clients to make impactful business decisions. The Impact you bring to Cognite
What you’ll bring
All qualificationsCore experience
- Bachelor or Master degree in computer science or similar.
- Relevant experience can compensate for formal education
- 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
Preferred experience
- Experience from heavy asset industry can be nice to have
Qualification wording
Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
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 from heavy asset industry can be nice to have
Education & alternatives
Required Qualifications - Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education - Minimum 6 years of experience in a customer-facing Data intense role
Tools in this posting
- Python
- SQL
- Google Cloud (GCP)
- Kubernetes
- Java
- Azure
Source — Tool mentions in context
The Impact you bring to Cognite - Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java and Rest APIs - Create custom data models for data discovery, mapping, and cleansing
- Minimum 6 years of experience in a customer-facing Data intense role - 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 environments
Posting record
Report an error- Status in our records
- 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.
As a Senior Data Engineer in Cognite, your role will be to create and deliver solutions to the biggest problems challenging our industrial customers today by designing, developing and implementing data infrastructure and best-in-class pipelines that collect and connect data from various data sources. In this role, you will not only be responsible for designing and implementing robust data pipelines and architectures but also have the potential to evolve into a Lead, guiding and mentoring a team of data engineers. You will collaborate closely with cross-functional teams, driving data-driven solutions that enable our clients to make impactful business decisions.
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java and Rest APIs
- Create custom data models for data discovery, mapping, and cleansing
- Partner with Solution Architects to understand client requirements and define queries with subject matter experts
- Support customers and partners in conducting data engineering tasks with Cognite products
- Optimize for non-functional requirements (E.g. access control, security, disaster recovery, logging, monitoring) to reach necessary service maturity for each solution
- Collaborate with our R&D and Product Management teams to turn customer needs into a prioritized pipeline of product offerings
- Mentor, coach and help recruit junior Data Engineers
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 6 years of experience in a customer-facing Data intense role
- 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 environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others
Preferred Experience
- Experience from heavy asset industry can be nice to have
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.
Complete your application on job-boards.eu.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.