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Cognite is a leading industrial digitalization platform building AI and data solutions for the world's hardest, highest-impact problems. The company operates at the forefront of industrial data transformation, serving critical industries including Power & Utilities, Energy, and Manufacturing.
As a Senior Data Engineer, you will lead the design and implementation of scalable, production-grade data engineering solutions using Cognite Data Fusion®, the company's comprehensive industrial dataops platform. You'll drive end-to-end data integrations, extractions, data modeling, and analysis using Cognite data connectors, SQL, Python/Java, and REST APIs. Your responsibilities include creating custom data models for data discovery, mapping, and cleansing; conducting code reviews to ensure high-quality, maintainable code; and supporting customers and partners in executing data engineering tasks.
You'll collaborate closely with data scientists, solution architects, project managers, and engineering teams to deliver customer solutions and translate customer needs into product priorities. You'll also contribute to the development of Cognite's official tools and SDKs, working with both internal teams and external partners.
Required qualifications include a Bachelor's or Master's degree in Computer Science or equivalent relevant experience, minimum 8+ years in customer-facing, data-intensive roles, and proven expertise delivering production-grade data pipelines. You should have hands-on experience with distributed computing (Kubernetes), managed cloud services (GCP/Azure), Git, CI/CD, and deployment environments. Domain knowledge of oil & gas and manufacturing data sources is a plus. You'll need strong problem-solving skills, a DevOps mindset, and the ability to work effectively in cross-functional teams.
