Aimed at experienced data engineers who thrive in cross-functional teams and have a strong background in industrial data pipelines.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Cognite via Greenhouse
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 Senior 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 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.
If you're passionate about leveraging technology to solve tough problems and are eager to impact the way industries operate, we want to hear from you. Let's build the future of industrial data together.
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.
The Impact you bring to Cognite
Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
Minimum 8+ 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
Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
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
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.
Source: Cognite careers (Greenhouse)