At a Glance
- Tasks: Lead projects to enhance MES systems and create automation solutions for operational efficiency.
- Company: Join Seagate, a leader in data storage with a focus on innovation and collaboration.
- Benefits: Enjoy private healthcare, flexible working, and extensive career development opportunities.
- Why this job: Be at the forefront of AI-driven manufacturing and shape the future of factory operations.
- Qualifications: Degree in a technical field and experience with coding and statistical analysis.
- Other info: Dynamic workplace with diverse employee resource groups and community engagement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The global demand for data storage is accelerating at an unprecedented rate, reshaping the scale, speed, and expectations of modern manufacturing. Our wafer fabs in Minnesota and Northern Ireland are 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, bringing 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. You will help redesign Wafer FAB support, deployment, and configuration activities to meet new demands, bringing fresh perspectives on existing and new tasks and pioneering new patterns of collaboration between humans and AI.
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, implementing and scaling changes and enhancements.
- 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.
- Degree in Computer Science/Statistics/Applied Mathematics/Engineering or related technical field, or equivalent practical experience.
- Will work across departments to solve complex problems and concurrently support multiple projects and customers.
- Curious and practical about GenAI, with a strong desire to learn how to build and deploy GenAI agents to automate and streamline operational workflows.
- Have an automation mindset, continually looking for repeatable work to standardize and automate processes.
- Excellent communication (oral and written) and interpersonal skills.
- Self-motivated with the 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.
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).
- 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. 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.
At Seagate, we are committed to building a diverse, inclusive, and authentic workplace. 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.
Location: Springtown, Derry / Londonderry, Northern Ireland. Our Springtown site is Derry/Londonderry’s largest manufacturer, with 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. Take a group or individual exercise class during lunch or after work at our on-site gym. Network with your colleagues through various groups and volunteer in the community with our support!
Company Benefits:
- Health – Private healthcare, Company sick pay, Occupational healthcare service, Employee assistance programmes, Group income protection, On-site gym/exercise classes/personal trainer.
- Work Life Balance – Annual leave, Part-time working, Enhanced maternity and paternity pay, Bereavement leave.
- Finance – Pension scheme, Life assurance, Employee stock purchase plan, Competitive base pay, Company bonus scheme, Reward and recognition programmes.
- Career – Degree/non-degree assistance, Externally accredited training and development opportunities, Service awards, LinkedIn learning, Learning & development programmes.
Manufacturing Execution Systems Analyst (MES) in Derry employer: Seagate Technology
Contact Detail:
Seagate Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Execution Systems Analyst (MES) in Derry
✨Tip Number 1
Network like a pro! Reach out to current employees at Seagate through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the MES Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves automation and AI, be ready to discuss your experience with SQL, Python, and any relevant projects you've worked on. Show us your problem-solving mindset!
✨Tip Number 3
Don’t just focus on your qualifications; highlight your curiosity and willingness to learn. Share examples of how you’ve tackled challenges in the past and how you plan to bring fresh perspectives to the MES systems. We love a proactive attitude!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team. Don’t forget to tailor your application to reflect the AI-first mindset we’re looking for!
We think you need these skills to ace Manufacturing Execution Systems Analyst (MES) in Derry
Some tips for your application 🫡
Show Your Curiosity: We want to see your curiosity shine through in your application! Share examples of how you've tackled complex problems or explored new technologies, especially in the realm of GenAI. This will help us understand your mindset and how you approach challenges.
Tailor Your Application: Make sure to tailor your application to highlight your relevant skills and experiences that match the job description. We love seeing how your background in computer science, engineering, or related fields aligns with our needs for the MES Analyst role.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and get to the point. We appreciate well-structured applications that make it easy for us to see how you meet the criteria for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Seagate Technology
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in SQL, Python, and any relevant programming languages. Be ready to discuss how you've used these skills in past projects or how you plan to apply them in the role.
✨Show Your Curiosity
Demonstrate your curiosity about GenAI and how it can be applied in manufacturing. Prepare examples of how you've approached problem-solving in innovative ways, and be ready to discuss your thoughts on future trends in AI and manufacturing.
✨Collaboration is Key
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve helped teams overcome challenges together.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think through potential challenges you might face in the MES role and how you would tackle them, showcasing your automation mindset and strategic thinking.