2 months ago
Shanghai, ChinaSenior
Responsibilities
- Define and implement scalable architectures for capturing, integrating, and providing production and process data across multiple sites.
- Develop standards and concepts for integrating sensors, PLC, SCADA, historian, MES, LIMS, quality, and ERP data sources.
- Design production data models for reporting, root cause analysis, process optimization, advanced analytics, and AI applications.
- Advise business functions, production sites, and project teams and translate business requirements into architectural solutions.
- Establish regional standards for data models, interfaces, documentation, governance, traceability, compliance, and reuse.
- Collaborate with global sites, experts, and stakeholders and contribute to global data architecture roadmaps.
- Design, develop, and industrialize machine learning and agentic AI solutions for predictive analytics, process control, and decision support.
- Identify, evaluate, and manage partnerships with vendors, startups, and technology providers.
Requirements
- Bachelor's degree in computer science, data engineering, data science, artificial intelligence, or a comparable scientific or technical field.
- At least 5 years of professional experience in data architecture, data integration, industrial data platforms, or advanced analytics.
- Experience designing scalable data architectures and understanding data quality, governance, information security, and standardization.
- Strong understanding of production processes, industrial system landscapes, IT/OT integration, and standards such as ISA-95, OPC, and MQTT.
- Strong knowledge of data processing, data modeling, data analysis, Python, SQL, ETL/ELT concepts, and modern data platforms.
- Knowledge of the Databricks platform, agentic AI, and machine learning techniques including decision tree learning, clustering, and artificial neural networks.
- Strong communication and facilitation skills, confidence working with global stakeholders, teamwork, initiative, and structuring capability.
- Very good written and spoken Chinese and English skills.
Categories
Data EngineeringML Engineering
About BASF SE
BASF SE is a public chemical manufacturer that produces basic chemicals, advanced materials, surface technologies, and agricultural solutions for customers in industries such as automotive, construction, and consumer goods, as well as farmers. It sells globally through a portfolio of business segments and R&D-driven product lines. Founded in 1865 and headquartered in Ludwigshafen, Germany, BASF is listed on the Frankfurt Stock Exchange.