Data Engineer / AI Engineer
On-siteShanghai, Shanghai, China
Job Summary
Design and develop scalable data pipelines using Databricks, Spark, Python, and SQL to integrate data from enterprise systems like SAP and Oracle. Build and maintain data models, platforms, and analytics datasets while ensuring data quality, reliability, and performance. Develop dashboards and reports to improve business visibility, and deploy Machine Learning models for prediction and optimization. Construct Generative AI solutions using LLMs, AI agents, and Copilot technologies to drive workflow automation and intelligent decision support. Work closely with business stakeholders to translate requirements into scalable data and AI products supporting Logistics and Supply Chain digital transformation.
Required Qualifications
- Bachelor's degree or above in Computer Science, Data Science, Engineering, or related fields
- 1-2 years of experience in Data Engineering, Analytics, or AI/ML development
- Databricks
- Apache Spark
- Python
- SQL
- Data Modeling
- Experience building enterprise data pipelines and data platforms
- Experience developing and deploying Machine Learning solutions
- Basic knowledge of Generative AI, LLMs, AI Agents, or Copilot technologies
- Strong communication skills and ability to work in a global environment
- Databricks
- Spark
- Python
- SQL
- Data Engineering
- Machine Learning
Desired Qualifications
- Experience with SAP, Oracle, or Supply Chain/Logistics systems
- Experience with Azure cloud technologies
- Experience in Logistics, Supply Chain, Procurement, or Manufacturing domains
- Knowledge of Machine Learning operations and AI solution deployment
- GenAI / LLM
- AI Agents
- Azure
- Supply Chain / Logistics Domain Knowledge
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