Digital Transformation Engineer - KTP Associate in Belfast

Digital Transformation Engineer - KTP Associate in Belfast

Belfast Placement 25000 - 32000 € / year (est.) No home office possible
Queens University

At a Glance

  • Tasks: Drive digital transformation by unlocking operational data and integrating intelligent systems.
  • Company: Join CASC, a leader in access and safety products with over 20 years of experience.
  • Benefits: Access to a substantial development budget and support from world-class academics.
  • Other info: Dynamic role with excellent career growth and project management experience.
  • Why this job: Launch your career with a unique opportunity to blend academia and industry.
  • Qualifications: 2.1 Honours Degree in Computer Science, Data Science, or relevant Engineering discipline.

The predicted salary is between 25000 - 32000 € per year.

Through the Knowledge Transfer Partnership (KTP) Programme, CASC in partnership with Queen's University Belfast have an exciting and unique employment opportunity for an innovative and motivated Computer/Data Science or relevant Engineering (Mechatronics, Electronics) graduate to work on a project to drive digital transformation by unlocking critical operational data and enabling seamless integration of automation and intelligent systems, strengthening CASC's position as a trusted manufacturing partner for global OEMs in renewable energy, automotive, agricultural and material handling sectors. This role is company-based and will be delivered in collaboration with the Advanced Manufacturing Innovation Centre (AMIC) at Queen's.

CASC are leading suppliers of access and safety products and services globally. With over 20 years' experience, CASC prides itself on being able to provide cost-effective solutions and deliver projects as a trusted partner for some of the world's largest renewable and construction projects. CASC are building a truly digital factory by investing in the world's most advanced manufacturing technology and machinery. Our in-house engineering teams provide expertise across cutting, folding, fabrication, finishing and final delivery, ensuring a streamlined process that enhances quality, reduces lead times and keeps every project moving forward smoothly.

About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:

  • Hold or be about to obtain (by July 2026) at least a 2.1 Honours Degree (or equivalent) in Computer Science, Data Science, or a relevant Engineering subject such as Mechatronics, Electronics or a closely related discipline.
  • Hold a current, valid, UK driving licence and have access to own transport.
  • Significant relevant experience in a manufacturing environment, in a related research field, or on a project focused on digital transformation.
  • Relevant experience of data modelling, programming and data visualisation.
  • Relevant experience in planning, organising or contributing to projects (e.g. academic projects, group assignments, placements), with demonstrable knowledge of basic project management principles and/or tools.

Applicants must adequately evidence how they have gained relevant experience/knowledge/skills in detail, using examples and dates where appropriate to demonstrate that they meet these requirements. It is not sufficient to simply list duties/skills/modules/assignment titles as evidence. Please note the above are not an exhaustive list.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. A KTP role is the perfect launchpad for your career providing the opportunity to apply your academic knowledge and skills to deliver a strategic innovation project within a company. One of the unique benefits to KTP is access to a substantial development budget and the support and guidance of Queen's world-class academics and researchers. This role offers an excellent opportunity to work closely between academia and industry whilst developing your skills to run and manage projects.

Digital Transformation Engineer - KTP Associate in Belfast employer: Queens University

CASC is an exceptional employer, offering a unique opportunity for graduates to engage in transformative projects that bridge academia and industry. With a strong commitment to employee development, CASC provides access to substantial resources and support from Queen's University Belfast, fostering a collaborative work culture that encourages innovation and professional growth. Located at the forefront of digital manufacturing technology, employees can expect to be part of a dynamic team dedicated to delivering cutting-edge solutions in the renewable energy and automotive sectors.

Queens University

Contact Detail:

Queens University Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Digital Transformation Engineer - KTP Associate in Belfast

✨Tip Number 1

Network like a pro! Get out there and connect with industry professionals, attend events, and join relevant online communities. The more people you know, the better your chances of landing that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your expertise in digital transformation, data modelling, or programming. This will give you an edge and show potential employers what you're capable of.

✨Tip Number 3

Prepare for interviews by researching the company and understanding their projects. Tailor your answers to demonstrate how your skills align with their goals, especially in areas like automation and intelligent systems.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in working with us at CASC.

We think you need these skills to ace Digital Transformation Engineer - KTP Associate in Belfast

Data Modelling
Programming
Data Visualisation
Project Management Principles
Manufacturing Experience
Digital Transformation
Analytical Skills

Some tips for your application 🫑

Show Off Your Skills:Make sure to highlight your relevant experience in your application. Use specific examples and dates to demonstrate how you've gained the skills we’re looking for, especially in data modelling and programming.

Tailor Your Application:Don’t just send a generic application! Tailor it to the role by addressing the key criteria mentioned in the job description. We want to see how you fit into our vision of digital transformation.

Be Clear and Concise:Keep your application clear and to the point. Avoid jargon and make it easy for us to see how you meet the essential and desirable criteria. Remember, clarity is key!

Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of applications and ensure you don’t miss out on this exciting opportunity!

How to prepare for a job interview at Queens University

✨Know Your Stuff

Make sure you brush up on your knowledge of digital transformation, data modelling, and programming. Be ready to discuss specific projects or experiences that showcase your skills in these areas. The interviewers will want to see how your background aligns with the role.

✨Showcase Relevant Experience

Prepare to provide detailed examples of your experience in a manufacturing environment or related research fields. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewers to understand your contributions and achievements.

✨Ask Smart Questions

Come prepared with insightful questions about CASC's digital transformation initiatives and how they integrate automation and intelligent systems. This shows your genuine interest in the company and the role, plus it gives you a chance to assess if it's the right fit for you.

✨Demonstrate Project Management Skills

Highlight any relevant project management experience you have, whether from academic projects or placements. Discuss the tools and principles you've used, and be ready to explain how you plan, organise, and contribute to successful project outcomes.