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Data Engineering Intern

Pubblicato il 13-09-2026 - Eurofins BioPharma Product Testing Italy in Mantova

Company Description
In over 37 years, Eurofins has grown from a single laboratory in Nantes, France, with more than 65,000 employees in a decentralized and entrepreneurial network of over 950 laboratories in more than 1,000 companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to assess the safety, identity, composition, authenticity, origin, traceability, and purity of biological substances and products.
About the role
We are transforming laboratory operations into a fully digital, data-driven and increasingly intelligent laboratory environment.
As a Data Engineering Intern – Digital Laboratory, you will work on real-world projects that connect laboratory systems, data platforms, analytics and automation.
Your main focus will be data engineering: extracting, transforming, integrating and structuring laboratory data so that it can be used for Power BI, automation, AI and future machine-learning applications.
You will work with technologies such as Python, SQL, APIs, cloud data platforms and Power BI,



while gaining exposure to laboratory systems and digital transformation in a regulated Life Sciences environment.
This is an opportunity to work on projects designed to eliminate manual data handling, reduce paperwork and unnecessary system interactions, and make laboratory processes faster and more intelligent.
What you will work on
1. Laboratory Data Engineering
- Develop Python and SQL solutions for data extraction and transformation.
- Build and maintain data pipelines for laboratory and operational data.
- Transform raw data into structured, reusable datasets.
- Support the development of laboratory data lake/lakehouse capabilities.
- Automate recurring data preparation activities currently performed manually.
- Implement basic data-quality checks and validation rules.
- Help document data sources, structures and transformations.

2. Laboratory Systems Data
- Work with data originating from laboratory systems.
- Supp

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