Plant Engr ; Reliability

Use Your Power for Purpose

At Pfizer, we believe that every role contributes to our mission of improving patients' lives. Whether you are involved in the design and development of manufacturing processes for products or supporting the upkeep of systems, engineering is crucial to ensuring customers and patients receive the medicines they need. By collaborating with our forward-thinking engineering team, you'll play a pivotal role in accelerating the delivery of medicines to the world.

Our engineers in the plant engineering department play vital roles in ensuring timely delivery of medicines to patients. This role supports the division’s strategic objectives by applying engineering concepts to enhance equipment reliability, process efficiency, and safety standards. This role collaborates with cross functional work team and within department to assist in implementing technical solutions, managing projects, and complying with regulatory and company requirements.

An engineer in this role operates under close supervision, with increasing independence as experience grows. Key accountabilities include assisting in resolving basic routine problems, contributing to the completion of project tasks and/or milestones in a structured environment.

• Primary point of contact for engineering maintenance & utilities in assigned area.
• Execute assigned tasks accurately and on time, following established procedures.
• Maintain compliance with company policies, safety standards, and quality guidelines.
• Contribute to the completion of routine work team-related tasks.
• Coordination with maintenance/calibration/utilities, other plant engineers, validation and automation colleagues in support of manufacturing operations.
• Make decisions that require choosing between limited options to resolve problems in standard situations.
• Support data gathering, analysis, and reporting for ongoing projects.
• Apply basic technical knowledge to support operational activities.
• Respond to internal inquiries promptly and professionally.
• Assist in implementing approved changes under guidance.
• Participate in team meetings and provide input when appropriate.
• Engage in on-the-job training and professional development programs.

• Applicant must have a High School Diploma (or Equivalent) and 6 years of relevant experience OR an Associate’s degree with 4 years of experience OR a Bachelor’s degree with 0 years of experience.
• Experience in the Pharmaceutical or Biotechnology industry
• Familiarity with current Good Manufacturing Practices (cGMP)
• Basic knowledge of engineering, drawings, and technical writing.
• Basic understanding of mechanical equipment and utilities
• Strong interpersonal skills and willingness to learn.
• Ability to work well in a team environment.
• Fundamental technical knowledge of the principles and concepts of the discipline applicable to the role.
• Ability to follow detailed instructions and established guidelines.
• Good attention to detail and commitment to quality.
• Time management skills and accountability for individual tasks.
• Demonstrates commitment to continuous learning and professional growth within the engineering department.
• Effective communication and collaboration skills.

• Awareness of automation systems and associated platforms.
• Basic awareness of Process Safety Management elements.
• Basic understanding of troubleshooting and analyzing equipment failures.
• Ability to work collaboratively in a team environment
• Ability to adapt to changing priorities and manage multiple tasks
• Strong project management skills
• Awareness of Reliability Centered Maintenance (RCM), Failure Modes and Effects Analysis (FMEA), and Pareto analysis, Fault Tree Analysis (FTA), HAZOP analysis, Age Exploration Process (AE), Six Sigma (Process Excellence) and predictive technologies, etc.
• Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI…