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.