Industrial Systems Optimization Engineer

As an Industrial Systems Optimization Engineer at Siemens Energy, you will play a crucial role in ensuring the reliability, efficiency, and scalability of industrial operations by leveraging advanced technologies and data-driven approaches. Your expertise in Python programming, OPC UA, and PCS7 will be essential in delivering high-quality solutions that exceed project expectations. Key Responsibilities: - Monitor and analyze valve performance to optimize operations and enhance reliability. - Develop and implement Python scripts for automation, data analysis, and system optimization. - Utilize OPC UA knowledge to facilitate seamless communication between devices and systems. - Design and implement data models supporting project objectives with accuracy and accessibility. - Collaborate with engineering teams to define system requirements and specifications. - Leverage data analytics to derive insights supporting decision-making processes. Qualifications: - Bachelor's degree in Engineering, Computer Science, Data Science, or related field. - Proven experience with PCS7 systems. - Proficiency in Python programming for automation and data manipulation. - Understanding of OPC UA fundamentals in industrial environments. - Experience in valve monitoring and process optimization. - Background in data science including analysis, modeling, and visualization. - Strong analytical and problem-solving skills, ability to work independently and within a team. - Excellent communication and interpersonal skills to convey technical concepts effectively. Siemens Energy is a global team dedicated to meeting energy demand across 90+ countries while protecting the climate. With a focus on sustainability and innovation, we are committed to making reliable and affordable energy a reality through decarbonization and energy transformation. Join us in our mission for clean energy for generations to come. As an Industrial Systems Optimization Engineer at Siemens Energy, you will play a crucial role in ensuring the reliability, efficiency, and scalability of industrial operations by leveraging advanced technologies and data-driven approaches. Your expertise in Python programming, OPC UA, and PCS7 will be essential in delivering high-quality solutions that exceed project expectations. Key Responsibilities: - Monitor and analyze valve performance to optimize operations and enhance reliability. - Develop and implement Python scripts for automation, data analysis, and system optimization. - Utilize OPC UA knowledge to facilitate seamless communication between devices and systems. - Design and implement data models supporting project objectives with accuracy and accessibility. - Collaborate with engineering teams to define system requirements and specifications. - Leverage data analytics to derive insights supporting decision-making processes. Qualifications: - Bachelor's degree in Engineering, Computer Science, Data Science, or related field. - Proven experience with PCS7 systems. - Proficiency in Python programming for automation and data manipulation. - Understanding of OPC UA fundamentals in industrial environments. - Experience in valve monitoring and process optimization. - Background in data science including analysis, modeling, and visualization. - Strong analytical and problem-solving skills, ability to work independently and within a team. - Excellent communication and interpersonal skills to convey technical concepts effectively. Siemens Energy is a global team dedicated to meeting energy demand across 90+ countries while protecting the climate. With a focus on sustainability and innovation, we are committed to making reliable and affordable energy a reality through decarbonization and energy transformation. Join us in our mission for clean energy for generations to come.