Senior Data Engineer

Cognite
Malaysia
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Code reviews","Problem-solving","Cross-functional collaboration","Ownership","Knowledge sharing"]

Design and implement scalable data engineering solutions on the Cognite Data Fusion platform, including integrations, extractions, data modeling, and analysis. Build custom data models for discovery, mapping, and cleansing. Collaborate with data scientists, solution architects, and project managers to deliver customer projects, run code reviews, and ensure maintainable code. Support customers and partners using Cognite products and help develop official tools and SDKs.

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FursaFursa
Cognite
Cognite
4 hours ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design and implement scalable data engineering solutions on the Cognite Data Fusion platform, including integrations, extractions, data modeling, and analysis. Build custom data models for discovery, mapping, and cleansing. Collaborate with data scientists, solution architects, and project managers to deliver customer projects, run code reviews, and ensure maintainable code. Support customers and partners using Cognite products and help develop official tools and SDKs.
Location: Malaysia
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead the design and implementation of scalable, efficient data engineering solutions on Cognite Data Fusion.
  • •Drive integrations, extractions, data modeling, and analysis using Cognite data connectors, 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 to enable customer project deliveries.
  • •Conduct code reviews and implement best practices to ensure high-quality, maintainable code and deliveries.

Key Requirements

  • •Bachelor or Master degree in computer science or similar (or relevant experience can compensate).
  • •Minimum 5+ 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.
  • •DevOps mindset with Git and CI/CD, including experience with deployment environments.
Experience:5+ yearsIndustrial digitalizationData engineeringCustomer-facing data
Education:Bachelor's in computer science
Skills:Code reviewsProblem-solvingCross-functional collaborationOwnershipKnowledge sharing
Tech Stack:Cognite Data FusionCognite data connectorsSQLPythonJavaREST APIsKubernetesGCPAzureGitCI/CDSDKsData modeling

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