In this Data Engineer role you build scalable data architectures and AI-driven automation to support advanced analytics. You will design high-performance ETL/ELT pipelines for structured and unstructured data, including sensor and image data, working closely with data scientists and engineering teams. You drive architecture improvements and introduce new technologies to enable scalable intelligent automation and cross-site digitalization. This is a hands-on, impact-focused role in a general semiconductor company shaping greener, smarter solutions.
Responsabilidades
- Define and optimize data structures and architectures for availability, accessibility, and performance
- Design and implement scalable data pipelines (ETL/ELT) to process structured and unstructured data (sensor and image data)
- Collaborate with data scientists, business analysts, and engineering teams on AI and advanced analytics projects
- Translate business requirements into technical data management and processing solutions
- Drive innovation by adopting new technologies and improving data architecture
- Design, implement,
and operationalize agentic workflows and AI orchestration systems (e.g., MCP, multi-agent systems) for scalable intelligent automation
- Lead and contribute to cross-site digitalization and data initiatives
Requisitos principales
- Min. 5+ years of experience in data engineering, big data, or related field
- Min. Bachelor in Computer Science / Data Science (Master preferred)
- Proven experience building and maintaining scalable data pipelines and production data systems
- Strong hands-on experience with Python (Pandas, NumPy) and SQL in real-world projects
- Experience with relational and NoSQL databases and modern data architecture
- Practical experience collaborating in cross-functional AI/data science teams
- Proven hands-on experience with agentic workflows and AI orchestration frameworks (e.g., MCP, LangChain, multi-agent systems)