Data Engineer

📋 Description Lead design and implementation of scalable data engineering solutions on Cognite Data Fusion. Drive data integrations, modeling, and analysis with Cognite connectors, SQL, Python/Java, REST API. Create custom data models for data discovery, mapping, and cleansing. Collaborate with data scientists, PMs, and architects on deliveries to maximize dataOps value. Conduct code reviews and implement best practices for high-quality, maintainable code. Contribute to Cognite tools and SDKs and support customers with Cognite products. 🎯 Requirements Bachelor or Master degree in computer science or similar; experience can compensate. Minimum 4+ years in a customer-facing data-intensive role. Production-grade data pipelines using Python, SQL, and REST APIs. Experience with Kubernetes and cloud services like GCP and/or Azure. Domain knowledge in data sources within oil and gas and manufacturing is a plus. DevOps mindset with Git, CI/CD, deployment environments. 🎁 Benefits Equal opportunity employer; diverse and inclusive. Global team with cross-functional collaboration and knowledge sharing. Opportunities to learn and grow in cutting-edge industrial AI and data solutions.