About the role
AI summarisedSenior data engineer role at Infineon, a semiconductor company, focusing on building and maintaining large-scale data pipelines and architectures to support AI and machine learning workloads in manufacturing. Responsibilities include leading AI projects, collaborating with data scientists, and ensuring data quality and governance.
IDMFull-timeBE
Key Responsibilities
- Lead and manage AI projects from ideation to implementation that contribute to productivity and efficiency gain in manufacturing.
- Design, build, and maintain large-scale data pipelines and architectures to support AI and machine learning workloads.
- Develop and implement data engineering solutions to support AI and machine learning model development, deployment, and monitoring.
- Collaborate with data scientists, domain experts, and stakeholders to identify and prioritize data engineering needs and opportunities.
- Design, build, and maintain data warehouses, data lakes, and other data storage solutions to support AI workloads, with a focus on data quality and governance.
- Stay up-to-date with emerging trends and technologies in data engineering and AI, and lead the development of best practices, standards, and processes to continuously improve data engineering capabilities.
Requirements
- Min. 3 - 5 years of experience in data engineering, with a focus on building scalable and efficient data pipelines and architectures.
- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related field.
- Strong programming skills in languages such as Python, Java, SQL, or R.
- Experience with big data technologies, data lakes, cloud-based data platforms, Hadoop, MCP, and ML Ops.
- Engineering know-how and expertise in domains such as product or equipment are advantage.
- Knowledge of data science, statistics, and advanced data analytic techniques.
- Strong analytical and problem-solving skills, with experience in design thinking being an advantage.
- Effective interpersonal and communication skills to manage internal and external stakeholders.