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Data Engineering Internship (100%, 4-6 months)

Data Engineering Internship (100%, 4-6 months)

Data Engineering Internship (100%, 4-6 months)

Data Engineering Internship (100%, 4-6 months)

MDPI Switzerland

Internet, IT

Basel

  • Art der Beschäftigung: Studierende
  • Vor Ort
  • Zu den Ersten gehören

Data Engineering Internship (100%, 4-6 months)

Über diesen Job

Data Engineering Internship (100%, 4-6 months)

Build real-world data pipelines and automate reporting in a production environment. Gain hands-on experience with Python, SQL, and ETL while contributing to scalable data systems.

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, and key learnings during the last weeks of the internship.

Requirements

  • Bachelor’s degree in Computer Science or currently enrolled in a Computer Science, Engineering, or equivalent academic program;

  • No prior professional experience required;

  • Fluent in English (minimum B2).

Technical Skills

  • Basic Python skills (data manipulation, scripting, understanding of project ecosystems);

  • Basic knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, DuckDB);

  • Understanding of core data engineering concepts (ETL/ELT, data modeling, medallion architecture);

  • Familiarity with Linux/command line environments;

  • Basic knowledge of version control systems (Git, GitLab CI/CD).

Personal Skills

  • Strong team collaboration and communication skills;

  • Analytical and structured problem-solving mindset;

  • High motivation and willingness to learn;

  • Proactive and detail-oriented working style.

What we offer

  • The opportunity to contribute to the academic/scientific community;

  • Flexible working hours;

  • Team bond strengthening through team-building events;

  • Professional growth opportunities with our global training system;

  • Working in a collaborative and socially responsible team;

  • Company retreat facility;

  • Full-coverage insurance for accidents/daily sickness;

  • Prime location near Basel train station and city center;

  • And more...

If you are interested in this position, we look forward to receiving:

  • A motivational letter (EN) that briefly describes your motivations for joining MDPI

  • A resume (EN) including personal information, past & current education,

  • Copy of ID and Diplomas

  • If available: reference letters and certificates.

About MDPI

A pioneer in scholarly open access publishing, MDPI has supported academic communities since 1996 . Our mission is to foster open scientific exchange in all forms, across all disciplines. We operate more than 400 diverse, peer-reviewed , open access journals supported by over 66,000 academic editors . We serve scholars from around the world to ensure the latest research is openly and broadly available.

MDPI is headquartered in Switzerland with additional offices in Europe, Asia and North America . We are committed to ensuring that high quality research is made available as quickly as possible. We also support sustainability projects, with sustainability as a key theme in many journals and through the MDPI Sustainability Foundation.

Initiatives

At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms:

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