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Cognite is an industrial digitalization company building AI and data solutions for the world's hardest, highest-impact problems. The company operates at the forefront of industrial AI, offering a comprehensive suite of capabilities including low-code AI agents and data solutions that accelerate digital transformation across critical industries such as Power & Utilities, Energy, and Manufacturing.
You will join a dynamic team committed to creating cutting-edge solutions that significantly impact how industries operate. In this Senior Data Engineer role, you'll lead the design and implementation of scalable, efficient data engineering solutions using Cognite Data Fusion®, the company's industrial dataops platform.
Key responsibilities include:
- Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion®
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors, 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 on project deliveries
- Conduct code reviews and implement best practices to ensure high-quality, maintainable code
- 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 Engineering and Product Management teams to translate customer needs into prioritized product offerings
You'll work across cross-functional teams in a customer-facing capacity, solving complex data challenges for industrial clients.
REQUIREMENTS:
- Bachelor or Master degree in computer science or similar (relevant experience can compensate for formal education)
- Minimum 5+ years of experience in a customer-facing, data-intensive role
- Experience delivering production-grade data pipelines using Python, SQL, and REST APIs
- Experience with distributed computing such as Kubernetes and managed cloud services (GCP and/or Azure)
- DevOps mindset with experience in Git, CI/CD, and deployment environments
- Ability to independently investigate and solve problems
- Strong cross-functional collaboration skills
- Domain experience/knowledge of data sources within oil & gas and manufacturing industries is a plus
