Smart Factory Data Engineer
Core
Design and implement digital infrastructure connecting production equipment, manufacturing systems, and quality systems into a unified industrial data platform to enable real-time visibility and data-driven decision-making.
Role type
Senior Industrial Data Engineer (Smart Factory/Industry 4.0)
Builds
Scalable industrial data pipelines, real-time data architectures, operational dashboards, and a model production cell for Industry 4.0.
Domain
Manufacturing / Industrial IoT / Smart Factory
Required skills
Industrial data acquisition, scalable data pipeline development, real-time data architecture, Industrial IoT platforms, edge computing, hybrid cloud architecture, factory-floor system integration, industrial communication protocols, manufacturing metrics analysis.
Preferred skills
Lean Manufacturing, Continuous Improvement, Six Sigma, Kaizen.
Technologies
Azure Data Factory, Databricks, IoT Hub, Synapse/Fabric, AWS IoT Core, Kinesis, Glue, Redshift, S3, OPC-UA, MQTT, Modbus, Ethernet/IP, PLCs, SCADA.
Responsibilities
Design and deploy industrial data acquisition solutions connecting production equipment, sensors, PLCs, and MES systems. Build and maintain scalable data pipelines for manufacturing data. Develop real-time data architectures for operational visibility. Create operational dashboards for production performance and OEE. Establish standards for factory data architecture and governance. Lead development of a model production cell demonstrating smart manufacturing best practices.
Seniority
Senior, hands-on IC
