Global Operations Data Engineer
Core
Design, develop, and maintain scalable enterprise data platforms that transform operational data from manufacturing, supply chain, and IoT systems into trusted, AI-ready assets for global operations.
Role type
Senior IC data engineer (enterprise data platform & integration)
Builds
Scalable data pipelines, cloud-native data solutions, reusable data products, and enterprise integration services
Domain
Manufacturing operations, Industrial IoT, Enterprise Data Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Spark, dbt, ETL/ELT development, API design, data governance, data quality validation, CI/CD, DevOps
Preferred skills
Experience with Microsoft Fabric, Azure Data Lake, Snowflake, streaming architectures (Kafka, Event Hub), SAP ERP/MES integration
Technologies
Python, SQL, Apache Spark, dbt, Microsoft Azure, AWS, Microsoft Fabric, Azure Data Lake, Snowflake, REST APIs, Azure Event Hub, Apache Kafka, Data Factory, SAP S/4HANA, SAP ME, PLM
Responsibilities
Design and maintain scalable data pipelines integrating data from Manufacturing, Supply Chain, ERP, MES, and IoT platforms; Build reusable data products and curated datasets supporting analytics and AI; Implement data governance standards, automated quality validation, and metadata management; Develop cloud-native solutions and optimize data processing/storage; Collaborate with AI/Data Scientists to prepare AI-ready datasets and feature engineering pipelines; Monitor platform health, implement observability, and apply DevOps/CI/CD practices.
Seniority
Senior, hands-on IC
