Data Engineer II

Cognite; Oslo; On-site; NOK 700,000 - 1,100,000; Full time

Benefits offered by this job

Private health services

Subsidized lunch

On-site gym

Company coffee bar

Diversity & inclusion focus

Job summary

Cognite is leading industrial digitalization, delivering data-driven AI solutions and the Cognite Data Fusion platform to industrial customers around the world. We seek a data engineer who can design scalable pipelines and integrate with diverse data sources, serving cross-functional teams and customers.

You will work on building robust data models, APIs, and data processing workflows, collaborating with scientists, engineers and product managers to unlock the full potential of industrial data.

Qualifications

• Minimum 3-5 years of relevant experience in a customer-facing data-intensive role.
• Bachelor or Master degree in Computer Science or similar.
• 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 with experience of Git, CI/CD and deployment environments.
• Enjoys working in cross-functional teams and can independently investigate and solve problems.

Responsibilities

• Lead the design and implementation of scalable data engineering solutions using Cognite Data Fusion.
• Drive and manage integrations, extractions, data modeling, and analysis using Cognite connectors, 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 to deliver customer value.
• Conduct code reviews and implement best practices for high-quality code and deliveries.
• Support customers and partners in conducting data engineering tasks with Cognite products.
• Contribute to the development of Cognite’s tools and SDKs.
• Collaborate with Engineering and Product Management to prioritize customer needs.

Skills

Customer-facing

Cross-functional teamwork

Problem solving

DevOps mindset

Independent worker

Education

Bachelor or Master in Computer Science

Tools

Python

SQL

REST APIs

Kubernetes

GCP/Azure

Git/CI-CD

Job description

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

• 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.