Data Engineer
Core
Design, build, and support enterprise data products, analytics platforms, and integration solutions for manufacturing, industrial IoT, and operational technology environments.
Role type
Senior Data Engineer (Manufacturing/Industrial IoT domain)
Builds
Scalable data pipelines, modern Lakehouse architectures, and enterprise data integration solutions.
Domain
Manufacturing, Industrial IoT, Operational Technology, Supply Chain, Logistics
Deliverable
production ML models
Required skills
Databricks, SQL, Python, ETL/ELT Development, Lakehouse Architecture, Delta Lake, Medallion Architecture, Data Integration, Data Modeling, Data Quality & Validation, Data Lineage, Data Product Development, Git, CI/CD, Power BI, Azure Cloud Platforms
Preferred skills
Azure Data Factory, Azure Data Lake, Databricks Workflows, Unity Catalog, Data Contracts, Reusable Integration Frameworks, Enterprise Data Sharing Patterns, Semantic Models, RTLS Platforms, MES Systems, OPC-UA, MQTT, Kafka, Event Hub, SCADA/PLC, Ignition, Manufacturing Analytics, Industry 4.0
Technologies
Databricks, Azure, Delta Lake, Power BI, Azure Data Factory, Azure Data Lake, Azure DevOps, SQL Server, Jupyter Notebooks
Responsibilities
Develop scalable data pipelines, implement modern Lakehouse architectures, integrate operational and enterprise systems, support reporting and analytics, implement data quality and monitoring processes, work with structured/semi-structured/event-based data.
Seniority
Senior, hands-on IC
