Senior / Staff data Engineer (Agentic AI)

Infineon Technologies Philippines, Inc.; General Trias; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Infineon Technologies Philippines, Inc. is seeking an experienced Data Engineer with 5+ years of building scalable data architectures and AI‑driven automation.

You will design ETL/ELT pipelines for structured and unstructured data, including sensor and image data, and collaborate with data scientists and engineering teams on advanced analytics initiatives. You will translate business requirements into robust data solutions, drive innovation with new technologies, and help operationalize AI

Qualifications

• 5+ years in data engineering or related field.
• Proven experience building scalable data pipelines.
• Hands-on with Python and SQL in real projects.

Responsibilities

• Define and optimize data structures and architectures to ensure availability, accessibility, and performance.
• Design scalable data pipelines (ETL/ELT) to process structured and unstructured data (e.g., sensor and image data).
• Collaborate with data scientists, business analysts, and engineering teams in AI and advanced analytics projects.
• Translate business requirements into technical solutions for data management and processing.

Skills

Python

Pandas

NumPy

SQL

NoSQL

ETL/ELT

Data pipelines

AI orchestration

Education

Bachelor’s degree in CS/DS

Tools

MCP

LangChain

Multi-agent systems

Job description

We are seeking an experienced Data Engineer with 5+ years of expertise in building scalable data architectures and AI-driven automation systems. In this role, you will design and optimize high-performance data pipelines (ETL/ELT) for structured and unstructured data, including sensor and image data, while collaborating closely with data scientists and engineering teams to support advanced analytics and AI initiatives. Your Role

Key responsibilities in your new role Define and optimize data structures and architectures to ensure availability, accessibility, and performance Design and implement scalable data pipelines (ETL/ELT) to process structured and unstructured data (e.g., sensor and image data)

Collaborate closely with data scientists, business analysts, and engineering teams in AI and advanced analytics projects Translate business requirements into technical solutions for data management and processing Drive innovation by introducing new technologies and improving data architecture

Design, implement, and operationalize agentic workflows and AI orchestration systems (e.g., MCP, multi-agent systems, autonomous pipelines) to enable scalable intelligent automation Lead and contribute to cross-site digitalization and data initiatives Your Profile

Qualifications And Skills To Help

You Succeed Min. 5+ years of experience in data engineering, big data, or a related field Min.

Master / Bachelor Degree in Computer Science / Data Science or equivalents 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 working 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)

Contact: Carol Lee #WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game‑changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are.

At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.