Data Engineer
Core
Design and implement scalable data engineering solutions and integrations for industrial clients using Cognite Data Fusion.
Role type
Senior Data Engineer (Industrial AI/DataOps)
Builds
Production-grade data pipelines, custom data models, and integrations for Power, Utilities, Energy, and Manufacturing sectors.
Domain
Industrial digitalization, Oil & Gas, Manufacturing, Energy
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, SQL, Python, Java, REST APIs, Kubernetes, Cloud platforms (GCP/Azure), Data modeling, Code reviews, DevOps practices
Preferred skills
Domain knowledge in Oil & Gas/Manufacturing, SDK development
Technologies
Cognite Data Fusion, Python, SQL, Java, Kubernetes, GCP, Azure, Git, CI/CD
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 and architects on project deliveries; Conduct code reviews and implement best practices; Contribute to the development of official tools and SDKs.
Seniority
Senior, hands-on IC
