Senior / Staff Data Engineer (Agentic Ai)

Infineon Technologies AG; Santiago de Compostela; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Infineon Technologies AG in Spain seeks a Data Engineer to design scalable data architectures and AI-driven automation for advanced analytics. You will develop ETL/ELT pipelines for structured and unstructured data, including sensor and image data, and work with data scientists and engineering teams to enable scalable intelligent automation across sites.

Responsibilities include optimizing data structures, implementing pipelines, and translating business needs into robust data solutions while

Formación

• Min. 5+ years of experience in data engineering or related field.
• Bachelor in Computer Science or Data Science; Master preferred.
• Proven experience building scalable data pipelines and production data systems.
• Strong Python (Pandas, NumPy) and SQL skills.
• Experience with relational and NoSQL databases.
• Experience collaborating in cross-functional AI/data science teams.

Responsabilidades

• Define and optimize data architectures for availability, accessibility, and performance.
• Design and implement scalable ETL/ELT pipelines for structured and unstructured data.
• Collaborate with data scientists and engineers on AI and analytics projects.
• Translate business requirements into data management solutions.
• Drive innovation by adopting new technologies and AI orchestration frameworks.
• Lead cross-site digitalization initiatives.

Conocimientos

Python

SQL

Pandas

NumPy

Big data

Cross-functional collaboration

Educación

Bachelor in Computer Science / Data Science

Master preferred

Herramientas

MCP

LangChain

Multi-agent systems

Descripción del empleo

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.

• 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
• 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
• Effective communication
• SQL
• Relational databases