Data Engineer II

Norway (Oslo)

Live, first seen by us 36 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design and implement scalable data engineering solutions on Cognite Data Fusion
Build integrations, extractions and data models using connectors, SQL, Python/Java and REST APIs
Create custom data models for discovery, mapping and cleansing
Run code reviews and apply best practices for maintainable code
Support customers and partners with data engineering tasks on Cognite products

From the employer’s posting

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.

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.

What you’ll bring

All qualifications

Core 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

Apply at Cognite - AI for Industry

Posting record

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Status in our records: Live
First seen by us: Sep 29, 202636 days ago
Recorded sightings: 30
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 36

Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

Cognite - AI for Industry is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is steady
Takes jobs down at a usual pace
29% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
SQL
Azure
GCP
Kubernetes

Where the posting names them

- 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

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Your next step

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Has Cognite - AI for Industry posted this job before?

Yes. We’ve followed one other Data Engineer II job there since October 2026. It came down after 13 days.

This jobUp 36 days so far, first seen Sep 29
Place not statedCame down after 13 days, first seen Oct 7

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

What Cognite is: Relentless to achieve

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.

How you’ll demonstrate Ownership We're looking for a Data Engineer who is ready to tackle big challenges and advance their career. In this role, you'll join a dynamic team committed to creating cutting-edge solutions that significantly impact critical industries such as Oil & Gas, Power & Utilities, Energy, and Manufacturing. You'll collaborate with industry leaders, solution architects, data scientists and project managers, all dedicated to deploying and optimizing digital solutions that empower our clients to make informed business decisions.

The Impact you bring to Cognite

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

Required Qualifications

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

* Join an organization of 60 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝

* A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more

* Flat structure with direct access to decision-makers

* Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology

* Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.

* Get access to private health services with Cognite Care.

* Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)

* 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!

Learn more about us

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.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

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