About the role
- Lead the design and implementation of scalable and efficient data engineering solutions using our platform Cognite Data Fusion®.
- Drive and manage integrations, extractions, data modeling, and analysis using Cognite data connectors and SQL, Python/Java and Rest APIs.
- Create custom data models for data discovery, mapping, and cleansing.
- Collaborate with data scientists, project managers and solution architects engineers on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform.
- Conduct code reviews and implement best practices to ensure high-quality and maintainable code and deliveries.
- Support customers and partners in conducting data engineering tasks with Cognite products.
- Contribute to the development of Cognite’s official tools and SDKs.
- Collaborate with our Engineering and Product Management teams to turn customer needs into a prioritized pipeline of product offerings.
- Bachelor or Master degree in computer science or similar. Relevant experience can compensate for formal education
- Minimum 3+ years of experience in a customer-facing Data intense role
- Experience delivering production-grade data pipelines using e.g. Python, SQL and Rest APIs
- Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure
- Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus
- Have a DevOps mindset, and experience with Git, CI/CD, deployment environments
- Enjoys working in cross-functional teams
- Able to independently investigate and solve problems
- Humility to ask for help and enjoy sharing knowledge with others