Cognite
Industrial digitalization
SeniorDataEngineer
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“Senior Data Engineer at Cognite”
Industry & Context.
Full 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 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
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