MES Engineer (POMSnet)
NeoDyne is a leading Irish and UK Industrial Automation and Electrical Engineering company. Our B2B customer base extends to over 300 companies with turnover predominantly from large multinationals in pharma, high-end food and beverage manufacturing and energy sectors. The company is 25 years old and employs over 200 talented automation, electrical and IT engineers across offices in Dublin, Cork, Galway, Waterford, and Chesterfield, UK.
We are currently seeking MES Engineers (2+ years’ experience in POMSnet) to work on leading-edge automation projects, predominantly in the Energy, Life Science and Food & Beverage sectors.
This role is offered as a full-time staff position based full-time on a customer site in Cork, with an excellent salary and benefits package.

QUALIFICATIONS/ SKILLS/ EXPERIENCE

• Bachelor’s degree in Engineering/ Computer Science / Information Systems or related field.
• 2 or more years’ MES engineering experience.
• Experience working with POMSnet.
• Experience working with validated Automation systems in the Pharmaceutical or Food Beverage manufacturing environment.

• Working with a team of digital manufacturing/automation engineers managing and delivering projects to customer sites
• Coordinating with the Process, Design teams to review and update the design as per Process
• Responsible for validating and testing the MES Recipe design as per process logic and mapping
• Developing engineering design documents, technical evaluations, and test plans for cGMP process equipment and following GAMP 5 guidelines.
• Preparation of Functional Design specification
• Incident management: Raising tickets and coordinating with other support teams and application vendor for resolving issues and accordingly tracking them to close
• Change management: Raising change requests based on the MES Application modification / upgrade requirements from the Business
• Implementing, testing and deploying the changes as per requirement.
• Working closely with customers to identify areas for improvement through the use of automation and data analytics technology.
• Providing technical and automation operational support to Engineering, Manufacturing, Validation and Facilities departments.