Data Engineer

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of 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.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

What Cognite is Relentless to achieve

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward — not step back — you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

Responsibilities

• 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 data‑ops 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.

Impact you bring to Cognite

• Have a DevOps mindset, and experience with Git, CI/CD, deployment environments.
• Enjoy working in cross‑functional teams.
• Able to independently investigate and solve problems.
• Humility to ask for help and enjoy sharing knowledge with others.

Required Qualifications

• Minimum 3‑5 years of relevant 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.

Preferred Experience

• Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education.

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.

Job Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Information Technology and Engineering
• Industries: Construction, Software Development, IT Services and IT Consulting