Automation Senior Engineer

Key Responsibilities

• Prepare comprehensive automation plans with detailed technical drawings that include project specifications, equipment requirements, and cost estimates for IoT integration and predictive maintenance systems.
• Contribute to new automation initiatives and projects, reviewing and communicating the impact on manufacturing efficiency and Lean activities.
• Present automation analysis results and project solutions to technical leads, senior leaders, and clients, demonstrating ROI and operational improvements.
• Develop robust automation and continuous improvement strategy in partnership with the Management Team and key business stakeholders.
• Implement and support cultural change across the organization toward smart manufacturing and drive business improvement through automation.
• Develop, deliver and support delivery of automation improvement change initiatives, focusing on IoT-enabled equipment and predictive maintenance programs. Develop and contribute towards automation standards in line with Industry 4.0 best practices.
• Undertake manufacturing process analysis, statistical analysis for automation opportunities, and support wider digital transformation initiatives.
• Lead, define and develop automation activities designed to improve performance, including planning and implementation of smart manufacturing solutions.
• Perform root cause analysis of equipment failures and resolve problems through predictive maintenance and automated monitoring systems.
• Conduct comprehensive risk assessments of automated processes, IoT systems, and robotic equipment in the manufacturing department.

Qualifications & Skills

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or Industrial Engineering; Master degree preferred.
• Minimum 5 years of experience in industrial automation with focus on manufacturing environments.
• Previous Oil and Gas or ESP manufacturing experience is highly preferred.
• Extensive knowledge of IoT integration, predictive maintenance, and Industry 4.0 technologies; Knowledge of Six Sigma, FMEA, and Lean Manufacturing principles.
• Working knowledge of MS Office, ERP systems, and automation software platforms; Strong programming skills in Python, C++, or Java.
• Excellent reporting, documentation, and technical communication skills; Experience with data analytics and machine learning applications in manufacturing.