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MDPI AG

A pioneer in scholarly, open access publishing, MDPI has supported academic communities since 1996. Based in Basel, Switzerland, MDPI has the mission to foster open scientific exchange in all forms, across all disciplines.

Our 381 diverse, peer-reviewed, open access journals are supported by more than 115,000 academic experts who support our mission, values, and commitment to providing high-quality service for our authors. We serve scholars from around the world to ensure the latest research is freely available and all content is distributed under a Creative Commons Attribution License (CC BY).

MDPI publishes over 85 journals that are ranked as high impact within their fields. To view the current impact factors for MDPI journals (according to the Journal Citation Reports), please visit our yearly announcement page here.

With additional offices in Beijing, Wuhan and Tianjin (China), Barcelona (Spain), Belgrade and Novi Sad (Serbia), Cluj-Napoca (Romania), Manchester (UK), Tokyo (Japan), Bangkok (Thailand) and Kraków (Poland), MDPI has published the research of more than 330,000 individual authors and our journals receive more than 25 million monthly webpage views.

20/03/2026
Full time
Data Engineering Internship (100%, 4-6 months)
MDPI AG Grosspeteranlage 5, 4052 Basel, BS, Switzerland
Join our Product & Technology department as a   Data Engineering Intern   and gain practical, hands-on experience in a real production environment. You will contribute to the continuous improvement of our digital platforms and data systems while developing reliable and scalable data-processing solutions. High-performing interns may be considered for full-time opportunities after graduation. As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site. Tasks & Responsibilities Develop and deliver a data engineering report automation project end-to-end; Build or extend simple ETL/ELT pipelines under guidance; Improve data quality checks, transformations, and monitoring processes; Contribute to creating reliable and repeatable data-processing components; Support testing, debugging, and optimization of data workflows; Prepare a final report summarizing main tasks, outcomes,...