Job summary
Join an innovative industrial digitalization company as a Senior Data Engineer. Develop and implement robust data pipelines and architectures that integrate and connect data from multiple sources. Collaborate with cross-functional teams to deliver data-driven solutions enabling impactful business decisions. This role offers potential leadership growth by mentoring and guiding junior engineers.
Location and work setup
- Location
- Oslo
- Work setup
- On-site
Responsibilities
Design, develop, and maintain production-grade data pipelines utilizing Python, SQL, REST APIs, and Cognite data connectors. Manage data integrations, modeling, discovery, mapping, and cleansing. Collaborate with solution architects and subject matter experts to understand client requirements and define queries. Ensure solutions meet non-functional requirements like security, access control, and disaster recovery. Work with R&D and product teams to prioritize customer-driven product enhancements. Mentor junior data engineers and support recruitment efforts.
Qualifications
Bachelor's or Master's degree in computer science or related field, or equivalent experience. Minimum six years in a customer-facing, data-intensive role with proven experience delivering production data pipelines. Proficiency with distributed computing platforms such as Kubernetes and managed cloud services like Google Cloud Platform or Azure. Strong DevOps mindset with experience in Git, CI/CD pipelines, and deployment environments. Effective problem-solving skills and ability to work independently and within cross-functional teams. Good communication skills, humility to seek help, and willingness to share knowledge. Experience from heavy asset industries is a plus but not required.