Cognite Data Engineer

Cognite Data Fusion Engineer / Consultant

Industry:

Key Responsibilities:

• Design, implement, and optimize data pipelines in Cognite Data Fusion (CDF) using Python SDK or CDF APIs
• Build and maintain data models (Asset Hierarchies, Time Series, Events, Files, Relationships) in CDF
• Ingest and contextualize data from OT systems (e.g., PI System, SCADA/DCS), IT systems (SAP PM, IBM Maximo), and engineering data
• Develop and orchestrate transformations using CDF Transformations (SQL / PySpark)
• Collaborate with SMEs and data scientists to develop use cases such as predictive maintenance, asset performance monitoring, and digital twins
• Implement access control, data lineage, and quality checks aligned with governance requirements
• Create dashboards, apps, or integrations using CDFs APIs, Power BI, Grafana, or other front-end tools
• Work with Cognites capabilities such as Cognite Functions, Data Sets, CDF Charts, and Industrial Canvas

Must Have:

• 4+ years of experience in data engineering or industrial data platforms
• Proven experience working with Cognite Data Fusion SDK, APIs, or Fusion Workbench
• Strong skills in Python, SQL, and cloud data tools (Azure preferred)
• Understanding of industrial asset structures, time series data, maintenance logs, and equipment metadata
• Experience with data integration tools and protocols (OPC UA, Modbus, REST, MQTT, PI AF)
• Familiarity with industry verticals like Oil & Gas, Chemicals, Power Generation, or Manufacturing
• Excellent problem-solving, communication, and client engagement skills

Please apply on the below link for interview process:

https://careers.ey.com/job-invite/1625081/