IoT Data Engineer Machine Learning | IoT Data Engineer (w/m/d) Machine Learning
Siemens AG
Job Summary
This role involves shaping the data landscape within the medium-voltage plant in Berlin by developing robust and scalable data architectures from heterogeneous machine, process, and system data. The core objective is to establish a foundation for transparency, automation, analytics, and AI-driven decisions in production. Key responsibilities include designing and developing data-driven system architectures, creating automated ETL pipelines (Extract, Transform, Load) from source data to cloud-based targets (AWS, Snowflake), and ensuring high data quality throughout the entire lifecycle. The engineer will also build IoT-based data products consumed by internal clients and AI agents, while strictly adhering to security and data governance standards. The ideal candidate must possess a foundational understanding of manufacturing processes, experience in agile IT projects using tools like Jira/Confluence, and strong knowledge of AWS Services.
Required Skills
Education
University degree in Computer Science, Business Informatics, or a comparable engineering discipline
Experience
- Professional experience in agile IT projects (Jira/Confluence)
- Experience with AI agents and MCP (Model Context Protocol)
- Foundational understanding of process traceability, manufacturing planning, and production logics
- Professional experience in developing and presenting technical concepts to diverse audiences
Languages
Additional
- Not specified
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