Data Engineering Intern — Digital Lab Analytics & Automation

Eurofins Biopharma Product Testing Italy; Rovigo; In loco; EUR 7800 - 11.000; Tempo pieno

Descrizione del lavoro

Eurofins Biopharma Product Testing Italy is offering a Data Engineering Intern role within the Central IT Solutions team in Rovigo, Veneto. You will work on connecting laboratory systems, data platforms, analytics and automation to build scalable data pipelines.

You will gain exposure to Power BI, REST APIs, cloud data platforms and AI/ML projects while contributing to digital transformation in a regulated Life Sciences context.

Competenze

• Currently pursuing a Bachelor's or Master's degree or recently graduated in: Computer Science, Data Engineering, Software Engineering, Information Technology, Mathematics / Statistics, Engineering or a related field.
• Good understanding of Python.
• Good understanding of SQL and relational databases.
• Strong analytical and problem-solving skills.
• Interest in data engineering and technology.
• Willingness to learn new technologies independently.

Mansioni

• 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.

Conoscenze

Python

SQL

Analytical thinking

Problem solving

Learning agility

Formazione

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, IT, Mathematics/Statistics, Engineering

Strumenti

Power BI

Azure

ETL/ELT

REST APIs

GitHub

Pandas

Data lakes

RPA

Descrizione del lavoro

Eurofins Biopharma Product Testing Italy is offering a Data Engineering Intern role within the Central IT Solutions team in Rovigo, Veneto. You will work on connecting laboratory systems, data platforms, analytics and automation to build scalable data pipelines.

You will gain exposure to Power BI, REST APIs, cloud data platforms and AI/ML projects while contributing to digital transformation in a regulated Life Sciences context.