Global Operations Data Engineer
Core
Design, develop, and maintain scalable enterprise data platforms and pipelines that transform operational data into trusted, AI-ready assets for global manufacturing operations.
Role type
Senior IC data engineer (enterprise data platforms)
Builds
Enterprise data platforms, scalable data pipelines, cloud-native data solutions, and reusable data products
Domain
Manufacturing / Industrial IoT / Enterprise Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Spark, dbt, ETL/ELT, API design, data modeling, data governance, data quality monitoring, cloud architecture
Preferred skills
Microsoft Fabric, Streamlit, event-driven architectures, Master Data Management (MDM), semantic data modeling
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 ERP/S/4HANA, SAP ME/MES, PLM, Microsoft Purview, GitHub, Azure DevOps, Docker, Power BI, Streamlit
Responsibilities
Design and maintain scalable enterprise data pipelines integrating data from Manufacturing, Supply Chain, ERP, MES, and IoT platforms; Develop reusable data products and curated datasets supporting analytics and AI applications; Implement data governance standards, automated quality validation, and data lineage tracking; Build cloud-native data solutions and optimize data processing/storage/orchestration; Collaborate with AI/ML teams to prepare datasets and feature engineering pipelines; Monitor platform health, availability, and performance using observability and logging tools.
Seniority
Senior, hands-on IC
