Data Engineer
Summary
Design and build scalable data pipelines and models for industrial AI platforms, integrating customer data with Python, SQL, and cloud services to drive operational insights.
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 digital transformation to drive operational improvements.
We thrive on challenges, challenge assumptions, and execute with speed and ownership. If you view obstacles as signals to step forward rather than 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.
Ownership
We’re looking for a Data Engineer who is ready to tackle big challenges and advance their career. In this role you will join a dynamic team committed to creating cutting‑edge solutions that significantly impact critical industries such as Power & Utilities, Energy, and Manufacturing. You’ll collaborate with industry leaders, solution architects, data scientists, and project managers to deploy and optimize digital solutions that empower our clients to make informed business decisions.
Impact
- 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 architect engineers on project deliveries to enable customers to achieve the full potential of our industrial data‑ops platform.
- Conduct code reviews and implement best practices to ensure high‑quality, 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.
- 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.
- A DevOps mindset and experience with Git, CI/CD, and deployment environments.
- Enjoys working in cross‑functional teams.
- Able to independently investigate and solve problems.
Preferred Experience
- Bachelor’s or Master’s degree in computer science or a related field. Relevant experience can compensate for formal education.
Benefits
- Join an organization of 60 different nationalities with Diversity, Equality, and Inclusion in focus.
- Enjoy a highly modern and fun working environment with a sublime culture across the organization.
- Flat structure with direct access to decision‑makers.
- Opportunity to work with and learn from some of the best people on ambitious projects across industries, using cutting‑edge technology.
- Join our HUB to participate in the conversation directly with Cogniters and partners.
- Access to private health services with Cognite Care.
- Subsidized lunch at the canteen.
- Exclusive coffee bar with a variety of beverages.
- Full‑staffed gym on‑site with a broad health offering.
- Chat with 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.
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.