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Job description

Manufacturing Execution Systems Analyst MES The global demand for data storage is accelerating at an unprecedented rate, and this growth is reshaping the scale, speed, and expectations of modern manufacturing. To meet this demand, our wafer fabs in Minnesota and Northern Ireland are already among the most advanced production environments in the world and must expand capability, throughput, and operational excellence. To support this expansion, we are hiring across MES, factory controls, factory support, and project management. We are looking for individuals who can rethink these roles for the next era of manufacturing and are people who bring curiosity, technical depth, and the ability to operate in new ways as workloads scale. A defining characteristic of these roles is an AI first mindset. As part of Global Factory ITs agentic shift, you will help redesign Wafer FAB support, deployment, and configuration activities to meet new demands. You will bring fresh perspectives on existing and new tasks and help pioneer new patterns of collaboration between humans and AI, shaping the next generation of digital work forces and manufacturing systems leaders. Joining us means contributing to the systems and solutions that will enable our wafer fabs to keep pace with the world’s hunger for data, while building the skills and experiences that define the future of factory operations.

Responsibilities

• Work with the Global Factory IT Team to drive transformation through the strategic adoption and adaptation of AI solutions, aiming to develop improved MES services more efficiently
• Will work across departments to solve complex problems
• Will support multiple projects and customers

Skills and Qualifications

Essential Skills

• Experience using statistical analysis programs
• Strong coding skills that could include .NET, C#, Java, Python. Knowledge of data formats such as Json & XML.
• Degree in Computer Science/Statistics/Applied Mathematics/Engineering or related technical, or equivalent practical experience
• Curious and practical about GenAI. Experience with, or strong desire to learn, how to build and deploy GenAI agents to automate and streamline operational workflows.
• Good communication skills including oral and written
• Knowledge and application of Structured Query Language (SQL)
• Knowledge and application of Visual Programming Language / Workflow programming

Desirable Skills

• General knowledge of wafer fabrication or semiconductor manufacturing
• Experience or interest in developing Python agents (LangChain or similar) and/or n8n workflows that utilise Large Language Models (LLMs) non-developers can run and extend and experience using or building MCP servers/tools
• Experience in messaging systems like RabbitMQ, Kafka, Docker and Kubernetes
• General knowledge of Lean manufacturing
• Experience of RDBMS Oracle PL/SQL, MySQL, PostgreSQL
• Experience in the development of machine learning (AI) solutions

Further Information

Please note that you must demonstrate in the application how you meet the criteria for the role as identified above. To facilitate shortlisting, the company reserves the right to apply enhanced criteria. Completed applications should be submitted no later than midnight on Tuesday 17th March 2026. This role does not meet the criteria set by the Home Office for sponsorship on a Skilled Worker Visa as such sponsorship of this visa cannot be offered. At Seagate we are committed to building a diverse, inclusive and authentic workplace. To see all vacancies that Seagate has available, please sign up, Register your interest for career updates with our Talent Network and to be considered for future opportunities: Seagate Careers. Seagate Technology is committed to equal opportunity in employment and welcomes applications from all sections of the community irrespective of sex, marital status, religious affiliation, age, disability or ethnic origin. The Company specifically welcomes applications from the protestant community who are currently underrepresented in this job category. All applications will be considered strictly on the basis of merit. Location: Springtown, Derry / Londonderry, Northern Ireland. Our Springtown site is Derry/Londonderry’s largest manufacturer, we’re proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and many other functions. Here at work, you can grab breakfast, lunch, dinner and snacks at our subsidised on-site cafe. Looking for an active break from your workday? We’ve got you covered. Take a group or individual exercise class during lunch or after work at our on-site gym. Network with your colleagues through the Young Professionals Network, Women’s Leadership Group, the Carers Café (for caregivers of individuals with disabilities), Volunteer in the community with our support! Join our creative network, which includes a choir, foreign language classes and even a cookery class! Join our Employee Resource Groups (ERG), a voluntary, employee-led community built on a shared diversity identity and/or an appreciation of that identity, open to all current employees at Seagate!