Data Engineer

📋 Description Lead design and implementation of scalable data engineering using Cognite Data Fusion. Drive integrations and data modeling with Cognite connectors, SQL, Python. Create custom data models for discovery, mapping, cleansing. Collaborate with data scientists, PMs and solution architects to deliver solutions. Conduct code reviews to ensure high-quality, maintainable code. Support customers and partners with Cognite products for data tasks. 🎯 Requirements 3-5 years in a customer-facing data role. Production-grade data pipelines with Python, SQL, REST APIs. Experience with Kubernetes and cloud services (GCP/Azure). DevOps mindset with Git, CI/CD, and deployment. Enjoys cross-functional teamwork. Bachelor or Master in CS; experience can compensate. 🎁 Benefits 60+ nationalities in a DEI-focused culture. Modern, engaging workspace and culture. Flat structure with direct access to decision-makers. Ambitious, cutting-edge projects across industries. Join HUB for direct Cognite conversations. Private health services and on-site gym.