Senior Staff / Staff Engineer Data Engineer
Posted Updated 6
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We are looking for a Data Engineer to manage AI projects & design, build and maintain scalable data pipelines and platforms that support analytics, reporting and data driven decision making. This role works closely with data scientists, analysts and stakeholders to ensure reliable, high quality and accessible data across the organization.
Your Role
Key responsibilities in your new role
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.
Your Profile Qualifications And Skills To Help You Succeed 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.
#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. Click here for more information about Diversity & Inclusion at Infineon.
Your Profile Qualifications And Skills To Help You Succeed 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.
#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. Click here for more information about Diversity & Inclusion at Infineon.