Supply Chain Data Automation Intern (RPA + AI)

MediaMarktSaturn Plattform Services GmbH

Etten-Leur

On-site

EUR 4,300 - 5,800

Full time

2 days ago

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Benefits offered by this job

Internship allowance €450/month

Job summary

MediaMarktSaturn Plattform Services GmbH invites applications for an Intern Supply Chain Data Automation position in the Netherlands. The role focuses on turning manual ticket processing into automated workflows within TESI, SAP, Excel and Copilot using AI/RPA, starting February 8, 2027.

You will analyze processes, design, implement, test and optimize automation while collaborating with end users and the operations team.

Qualifications

Currently pursuing an HBO or WO degree in a relevant technical field (IT, Automation, Data/AI).
Looking for a work placement internship; graduation internships are not available for this position.
Strong technical affinity and understanding of business processes.
Basic knowledge of programming, scripting and/or process automation.
Interest in AI and RPA technologies.
Strong analytical and problem-solving skills; identify repetitive tasks and translate into automation opportunities.
Able to design, build, test and implement a technical solution.
Good communication skills and ability to work with technical and non-technical colleagues.
Good command of English (spoken and written).
Available to work from the National Distribution Center in Etten-Leur for at least two days a week, and once a month from HQ in Rotterdam.
Available for 32 to 40 hours per week, starting February 8th 2027.

Responsibilities

Map and analyze the existing process for handling store tickets in TESI, identifying repetitive tasks and automation opportunities.
Design and build an automation solution using company-approved AI and/or RPA technology.
Work with TESI, SAP, Excel and Microsoft Copilot.
Explore how to connect systems to automate ticket-processing workflow.
Test, evaluate and optimize the solution with the operational team.
Involve end users, gather feedback, and support adoption of the new way of working.
Measure impact by reducing manual handling time.
Ensure the solution is sustainable, maintainable, and ready for daily operation.