We are hiring a senior Data Engineer to lead the development of intelligent, scalable data platforms for Industry 4.0 initiatives. This role will drive integration across OT/IT systems, enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments.
Key Responsibilities
1. Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data.
2. Integrate data coming from OT systems (SCADA, PLC, MES, Historian) and IT systems (ERP, CRM, LIMS) using protocols like OPC UA, MQTT, REST.
3. Design and manage data lakes, warehouses, and streaming platforms for predictive analytics, digital twins, and operational intelligence.
4. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data.
5. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments.
6. Collaborate with AI/ML teams to support model training, dep...