Manufacturing Execution Systems Analyst (MES)

About our group:

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 workforces 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.

About the role - you will:

•    Lead strategic and tactical projects and deliverables to design, deploy, and enhance the MES systems.  
•    Create automation solutions to improve operational efficiency and process yield using professionally accepted engineering techniques, practices, and procedures.  
•    Collaborate with cross functional teams to identify and understand their challenges and opportunities. Then work with those teams to implement and scale changes and enhancements.  This collaboration includes process engineering, wafer operations, factory control systems, and the global IT support teams to drive best practices across the organizations.  
•    Support the MES applications with day-to-day activities as well as during upgrades to the applications and supporting infrastructure.  
•    Be an engaged member of a cross‑site, virtual GenAI adopter group, collaborating through regular forums to exchange ideas, review outcomes, and learn from both successful and unsuccessful GenAI agent deployments.

About you:

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.

•    Degree in Computer Science/Statistics/Applied Mathematics/Engineering or related technical, or equivalent practical experience 
•    Will work across departments to solve complex problems  
•    Will concurrently support multiple projects and customers  
•    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.
•    Have an automation mindset. Continually looks for repeatable work to standardize and automate processes. Think out-of-the box. Are a problem solver.
•    Have excellent communication (oral and written) and interpersonal skills.
•    Self-motivated with ability to work both independently and collaboratively.
•    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

Your experience includes:

•    Experience using statistical analysis programs   
•    Knowledge and application of Structured Query Language (SQL)   
•    Knowledge and application of Visual Programming Language / Workflow programming  
•    Strong coding skills that could include .NET, C#, Java, Python.
•    Knowledge of data formats such as Json & XML.

You may also have:

•    General knowledge of wafer fabrication or semiconductor manufacturing
•    General knowledge of Lean manufacturing  
•    Experience of RDBMS Oracle PL/SQL, MySQL, PostgreSQL  
•    Experience in the development of machine learning (AI) solutions.
•    Experience or interest in developing Python agents (LangChain or similar) and/or n8n workflows that utilize 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.

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 is a Full-Time position working 39 hours per week. 

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:

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 subsidized 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! 

See list below of many of our Springtown Company Benefits:

•   Health – Private healthcare, for employees and dependents, Company sick pay and medical leave, Occupational healthcare service, Employee assistance programmes, Group income protection and On-site gym/ exercise classes / personal trainer.
•   Work Life Balance – Annual leave, Part-time working, Enhanced maternity pay, Enhanced paternity pay, Bereavement leave. Onsite gym
•   Finance – Pension – employer contributory scheme, Life assurance, Employee stock purchase plan, Competitive base pay, Company bonus scheme, Reward and recognition, Perks at work discount programmes, Pay for civil / jury duty.
•   Career – Degree / non degree assistance Externally accredited training and development opportunities, Service awards, LinkedIn learning, Learning & development programmes

Location: Springtown, United Kingdom
Travel: None