Computer Engineering / IT Intern - Slider Engineering

Computer Engineering / IT Intern - Slider Engineering

10/19/26

14865

Slider Operation & Development Integration supports slider manufacturing through equipment maintenance, process sustaining, capacity improvement, and continuous improvement. Within ME Slider Cleaning, the team drives equipment reliability, preventive maintenance, process monitoring, Smart Factory integration, and data-based operational improvement.

The intern will work with maintenance and engineering teams to convert machine, process, and maintenance data into practical dashboards and digital tools that improve visibility, response time, and decision-making.   About the role - you will:

•  Develop and enhance Maintenance Monitoring Dashboards for preventive maintenance status, overdue activities, machine downtime, and equipment health.

•  Develop KPIV dashboards to monitor key process input variables, parameter trends, control limits, and abnormal conditions.

•  Collect, clean, validate, and transform data from manufacturing, maintenance, and engineering data sources.

•  Create interactive visualizations and automated reports using Power BI, Power Query, Excel, or equivalent tools.

•  Support SQL queries, database connections, and data models required for dashboard development.

•  Automate repetitive engineering reports and improve data-refresh workflows.

•  Analyze equipment performance, maintenance history, OEE, utilization, and downtime trends.

•  Support predictive maintenance, machine health monitoring, and early-warning concepts where applicable.

•  Work with engineers and technicians to gather user requirements, test solutions, and improve dashboard usability.

•  Prepare technical documentation, user guides, source definitions, and project presentations.

•  Support other IT, computer, data analytics, automation, and Smart Factory assignments related to manufacturing engineering.   About you:

•  Interested in data analytics, software development, industrial digitalization, or Smart Manufacturing.

•  Able to analyze problems logically and convert user requirements into practical solutions.

•  Willing to learn manufacturing processes, maintenance workflows, and industrial systems.

•  Able to work independently while collaborating with engineers, technicians, and cross-functional teams.

•  Good communication, documentation, teamwork, and presentation skills.

•  Able to communicate in English at a level suitable for technical documents and presentations.   Your experience includes:

Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, Industrial Engineering with strong data-analytics knowledge, or a related field.

Data Visualization: Knowledge of Power BI, Power Query, Tableau, advanced Excel, or equivalent visualization tools.

Programming: Basic knowledge of Python, SQL, C#, JavaScript, or another programming language.

Database: Basic understanding of relational databases such as Oracle, SQL Server, MySQL, or PostgreSQL.

Data Analytics: Ability to clean data, create data models, analyze trends, and communicate findings clearly.

Software