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Open nowPosted 2 days ago

MES Engineer

Capgemini

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowMES EngineerCapgemini · Zürich, ZH, Switzerland
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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 2 days ago

The posting

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world-s most-innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they-provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are-the same.

##

Follow your passion in a role where you will be exposed to the technologies and processes that leading global companies utilize, and join our innovative team as,

MES Engineer

YOUR RESPONSIBILITIES ##

  • Primarily lead MES/PCS recipe design and authoring by following best practices
  • Directly support operations with troubleshooting and issue resolution with respect to automated recipes
  • Participate in validation activities in conjunction with Validation, Manufacturing, MS&T, and QA related to implementation and on-going support.
  • Monitoring and changing recipes (under change control) during the start-up, qualification and production phase and participating in risk and process deviation analyzes.
  • Ensuring the cGMP-compliant documentation (eMBR; SOP; operating regulations, etc.) in cooperation with the Bioprocess engineer, Plant Lead and with MSAT.
  • Constantly improving procedures and processes in compliance with the safety, hygiene, environmental and quality requirements in the area of responsibility.

YOUR SKILLS AND EXPERIENCE ##

  • Bachelor-s Degree in Chemical Engineering, Computer Science, or technology field with a mindset towards programming.
  • 5+ years- experience designing, configuring, and implementing Manufacturing Execution Systems.
  • Expertise in the area of Bioprocess Automation (OT, DeltaV, MES Syncade).
  • Experience in a cGMP facility or working with FDA regulations.
  • Structured, focused and well organized work ethic. Solution orientated and Open-minded for new ideas.
  • Computer System Validation (CSV) experience supporting a biotech environment
  • Ability to communicate internally and externally at higher levels; strong business understanding and strong team orientation.
  • Fluency in English, German will be considered as an advantage.

WHAT YOU-LL LOVE ABOUT WORKING HERE? ##

  • At our engineering academy, you-ll have access to over 60,000 hours of world-class training - designed to fuel your growth from day one. Whether you're diving into Generative AI, data science, or sustainability, our digital campus supports your learning journey every step of the way;
  • Experience the benefits of hybrid working, offering flexibility and ensuring work-life balance;
  • Harness the strength of diverse teams, fostering innovation and inclusive collaboration;
  • We offer additional benefits such as 5 weeks of vacation, Employee referral bonus, Company shares program and Annual contribution to a fitness subscription.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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