Thermo Fisher Scientific

Senior Data & AI Platform Engineer

Thermo Fisher Scientific  •  Shanghai, CN (Onsite)  •  3 hours ago
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Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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
Thermo Fisher Scientific

About Thermo Fisher Scientific

About Thermo Fisher Scientific

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.

For more information, please visit www.thermofisher.com.

Industry
Biotech & Life Sciences
Company Size
10,000+ employees
Headquarters
Waltham, MA
Year Founded
Unknown
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