Data Engineer II
Core
Design and implement scalable data engineering solutions using Cognite Data Fusion to support industrial clients in Oil & Gas, Power & Utilities, Energy, and Manufacturing.
Role type
Senior IC Data Engineer
Builds
Production-grade data pipelines, custom data models, and integrations for industrial dataops platforms
Domain
Industrial digitalization, AI, and data solutions
Deliverable
production ML models | product features
Required skills
Python, SQL, REST APIs, Kubernetes, GCP/Azure, Git, CI/CD, data modeling, data cleansing, code reviews
Preferred skills
Cross-functional collaboration, independent problem solving, DevOps mindset
Technologies
Cognite Data Fusion, Cognite data connectors, Python, Java, Kubernetes, GCP, Azure
Responsibilities
Lead design and implementation of scalable data engineering solutions; Drive and manage integrations, extractions, data modeling, and analysis; Create custom data models for data discovery, mapping, and cleansing; Collaborate with data scientists, project managers, and solution architects; Conduct code reviews and implement best practices; Support customers and partners in data engineering tasks; Contribute to the development of official tools and SDKs
Seniority
Mid-Senior, hands-on IC
