Overview
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)
Cross-functional collaboration
Proactive problem-solving
Effecti