Job
Description
About the role: We are seeking a highly skilled and motivated professional to join our team as an Industrial Systems Optimization Engineer. This role is pivotal to ensuring the reliability, efficiency, and scalability of industrial operations by leveraging advanced technologies and data-driven approaches. As part of the team, you will play a key role in monitoring and analyzing valve performance, developing automation scripts, and designing data models to optimize operations and enhance system reliability. Your expertise in Python programming, OPC UA, and PCS7 will be essential in delivering high-quality solutions that meet and exceed project expectations. Additionally, your ability to leverage data analytics to derive actionable insights will directly contribute to improved decision-making processes and operational excellence.. Key Responsibilities: Monitor and analyze valve performance, applying process understanding to optimize operations and enhance reliability. Develop and implement Python scripts for automation, data analysis, and system optimization. Utilize fundamental knowledge of OPC UA to facilitate seamless communication between devices and systems, ensuring interoperability and data exchange. Design and implement data models that support project objectives, ensuring data accuracy, consistency, and accessibility. Collaborate with engineering teams to define system requirements and specifications, ensuring alignment with project goals and industry standards. Leverage data analytics to derive insights and support decision-making processes. Qualifications: Bachelors degree in Engineering, Computer Science, Data Science, or a related field. Proven experience with PCS7 systems. Proficiency in Python programming, with a strong understanding of scripting for automation and data manipulation. Solid understanding of OPC UA fundamentals and its application in industrial environments. Experience in valve monitoring and process understanding, with a focus on optimizing performance. Background in data science, including data analysis, modeling, and visualization techniques. Strong analytical and problem-solving skills, with the ability to work independently and as part of a team. Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.
