Data Engineer / AI Specialist, Factory Digitalization | Data Engineer / AI Specialist (w/m/d) Factory Digitalization
Siemens AG
Job Summary
This role is central to the digital transformation of Siemens manufacturing sites, focusing on building and maintaining robust data infrastructure and driving innovative AI solutions. The specialist will be responsible for evaluating data source accuracy, designing and implementing end-to-end ETL data pipelines for structured and unstructured data into cloud-based systems, ensuring data integrity, consistency, and repeatability. A key component of the job involves analyzing data from the infrastructure to identify potential improvements in processes, products, and quality, and collaborating with manufacturing departments to conduct practical pilots of data models. The ideal candidate possesses a Master’s degree in a relevant field and professional experience integrating diverse data sources and developing AI-driven applications, utilizing strong skills in SQL and Python to translate complex data insights into actionable improvements for a non-technical audience.
Required Skills
Education
Master's degree in Computer Science, Informatics, Business Mathematics, or a related field with a focus on Data Engineering
Experience
- Several years of professional experience in integrating multiple tools and data sources
- Experience with frameworks such as LangChain, LlamaIndex, or Semantic Kernel is desirable
- Good understanding of MCP interfaces and tool calls
- Initial knowledge of cloud computing platforms like AWS or Azure is desirable
Languages
Additional
- Not specified
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