Descripción de la oferta
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 global semiconductor company shaping greener, smarter solutions.
ResponsabilidadesDefine and optimize data structures and architectures for availability, accessibility, and performanceDesign 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 projectsTranslate business requirements into technical data management and processing solutionsDrive innovation by adopting new technologies and improving data architectureDesign, implement, and operationalize agentic workflows and AI orchestration systems (e.g., MCP, multi-agent systems) for scalable intelligent automationLead and contribute to cross-site digitalization and data initiatives
Requisitos principalesMin. 5+ years of experience in data engineering, big data, or related fieldMin. Bachelor in Computer Science / Data Science (Master preferred)Proven experience building and maintaining scalable data pipelines and production data systemsStrong hands-on experience with Python (Pandas, NumPy) and SQL in real-world projectsExperience with relational and NoSQL databases and modern data architecturePractical experience collaborating in cross-functional AI/data science teamsProven hands-on experience with agentic workflows and AI orchestration frameworks (e.g., MCP, LangChain, multi-agent systems)Cross-functional collaborationProactive problem-solvingEffective communicationPython (Pandas, NumPy)SQLRelational databases
