Senior Data Engineer

Cognite
Oslo
Full timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Problem-solving","Ownership","Knowledge sharing","Humility"]

Design, develop, and implement production-grade data infrastructure and best-in-class pipelines that ingest, connect, and model data from multiple sources for industrial customers. Drive integrations, extractions, data modeling, and analysis using Cognite connectors, SQL, Python/Java, and REST APIs, while optimizing for non-functional needs like security, logging, and disaster recovery. Partner with solution architects and support customers on data engineering tasks, with growth potential into a lead role mentoring data engineers.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Cognite
Cognite
14 hours ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design, develop, and implement production-grade data infrastructure and best-in-class pipelines that ingest, connect, and model data from multiple sources for industrial customers. Drive integrations, extractions, data modeling, and analysis using Cognite connectors, SQL, Python/Java, and REST APIs, while optimizing for non-functional needs like security, logging, and disaster recovery. Partner with solution architects and support customers on data engineering tasks, with growth potential into a lead role mentoring data engineers.
Location: Oslo
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement robust data pipelines and data architectures for industrial customers.
  • •Drive integrations, extractions, data modeling, and analysis using Cognite data connectors and supported APIs.
  • •Create custom data models for data discovery, mapping, and cleansing.
  • •Optimize non-functional requirements such as access control, security, disaster recovery, logging, and monitoring.
  • •Mentor, coach, and help recruit junior data engineers; collaborate with R&D and Product Management to prioritize data engineering pipeline needs.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceGym Membership

Key Requirements

  • •Bachelor or Master degree in computer science or similar (relevant experience can compensate for formal education).
  • •Minimum 6 years of experience in a customer-facing, data-intensive role.
  • •Experience delivering production-grade data pipelines using Python, SQL, and REST APIs.
  • •Experience with distributed computing (e.g., Kubernetes) and managed cloud services such as GCP and/or Azure.
  • •Ability to independently investigate and solve problems while enjoying cross-functional collaboration and knowledge sharing.
Experience:6+ yearsIndustrial digitalizationData engineeringHeavy asset industry
Education:Bachelor's
Skills:Cross-functional collaborationProblem-solvingOwnershipKnowledge sharingHumility
Tech Stack:PythonJavaSQLREST APIsKubernetesGCPAzureGitCI/CD

Company Brief

Cognite
Provides industrial data software that helps companies connect, contextualize, and use operational data for analytics, AI, and digital transformation. Its platform is used by heavy-industry customers to improve asset performance and operations.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Oslo, Norway
Founded: 2016
WebsiteLinkedIn