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Updated 2026-06-10 12:00 UTC·© 2025–2026 RoleSuite
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Senior Data & AI Platform Engineer

Thermo Fisher Scientific · Shanghai, China

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

We are seeking a highly skilled Senior Data & AI Platform Engineer to support and evolve our China data ecosystem.

This role combines data platform operations, AI solution support, and enterprise application integration, and plays a critical role in enabling data-driven decision-making across supply chain, customer, and business intelligence domains.

Key Responsibilities:


1. AI & Data Solutions (Primary Focus)

  • Support and operate data-driven AI solutions for business use cases
  • Collaborate with business and analytics teams to enable AI/ML model deployment and data pipelines
  • Ensure data availability, quality, and performance for AI applications
  • Participate in building scalable data foundation for AI initiatives in China


2. Data Platform & Engineering

  • Manage and optimize SQL Server environments
  • Maintain and enhance data integration pipelines (SSIS, ETL workflows)
  • Support and develop China local data warehouse, integrating SAP BW, SAP EDP, and master data
  • Perform database performance tuning and troubleshooting


3. Enterprise Application & Data Integration

  • Support data interfaces for key enterprise systems:
  • SCM Digital Platform
  • MDM (Master Data Management)
  • Ensure stable and accurate data exchange across systems
  • Handle change requests (CR) and continuous improvements

4. BI & Analytics Support

  • Provide technical support for Power BI (DAX, Gateway, refresh issues)
  • Support global reporting platforms (BW, EDW, BO)
  • Ensure reliability and timeliness of business-critical reports


5. Operations & Incident Management

  • Monitor daily data jobs and system performance
  • Troubleshoot and resolve production issues
  • Ensure system stability and data accuracy
  • Support critical incident response when needed


Qualifications

Required

  • Bachelor’s degree or above in Computer Science, Data Engineering, or related field
  • 5+ years experience in data engineering / data platform / database administration
  • Strong experience with:
  • SQL Server
  • ETL tools (SSIS or equivalent)
  • Data warehouse concepts
  • Experience supporting enterprise applications and data integration


Preferred

  • Experience with AI/ML data pipelines or AI solution support
  • Familiarity with SAP BW / SAP data integration
  • Experience with Power BI or similar BI tools
  • Knowledge of cloud data platforms (Azure, AWS, etc.)
  • Strong problem-solving and ownership mindset


Soft Skills

  • Strong ownership and accountability
  • Ability to work independently in a complex environment
  • Good communication with both technical and business stakeholders

Apply →

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