Ref. 01262
Automation Engineer
Exciting opportunity for an Automation Engineer with our client, a multinational Pharmaceutical company. The ideal candidate will be a Subject Matter Expert (SME) in Manufacturing Control Systems, Operational Technology, Machine Automation, and Digitalization.
You will play a crucial role in ensuring the optimal performance of our automation systems and driving digital transformation projects.
Responsibilities
• Oversee automation systems to ensure maximum uptime and performance.
• Manage system user access, backups, and restores.
• Implement corrective actions and collaborate with vendor technical support.
• Identify and execute small projects to enhance system performance.
• Contribute to capital planning, project execution, and documentation.
• Develop solutions tailored to the manufacturing environment.
• Drive automation projects, ensuring cost, schedule, and technical goals are met.
• Stay updated with technology trends and benchmarks to keep Takeda at the forefront.
• Ensure all activities comply with site and corporate Quality Systems.
• Create and maintain engineering deliverables and test scripts.
• Develop and implement global automation strategies to standardize processes.
• Maintain and optimize automation systems and infrastructure.
Requirements
• Degree in Engineering (automation, robotics, computer science or equivalent).
• 5+ years of work experience in GMP manufacturing, with expertise in automation. A broad understanding of pharmaceutical manufacturing processes and regulatory environments is essential. Experience in the pharmaceutical industry is advantageous.
• Proficiency in automation solutions (Siemens, Omron, Mitsubishi, etc.).
• Knowledge of industry standards (GAMP, ANSI/ISA, 21 CFR Part 11, Annex 11) and GxP/QA.
• Familiarity with ANSI/ISA-99,100 standards is a plus.
• Collaborate with Global Automation to implement best practices.
• Mentor and train team members to enhance site expertise.
• Strong problem-solving and analytical skills, with experience in data analysis.
• Strong communication and analytical skills.
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