Data Engineering Intern - Central It Solutions

Eurofins Biopharma Product Testing Italy; La Spezia; In loco; EUR 8900 - 13.000; Tempo pieno

Descrizione del lavoro

Eurofins Biopharma Product Testing Italy is seeking a Data Engineering Intern – Digital Laboratory to join our growing analytics team in La Spezia. You will connect laboratory systems, data platforms and automation to enable data-driven decisions in a regulated Life Sciences environment.

You will gain hands-on experience building data pipelines, transforming data with Python and SQL, and supporting Power BI dashboards while learning about digital transformation in a laboratory setting.

Competenze

• Develop Python and SQL solutions for data extraction and transformation.
• Build data pipelines for laboratory and operational data.
• Automate data preparation and perform basic data-quality checks.
• Document data sources, structures and transformations.

Mansioni

• Develop Python and SQL solutions for data extraction and transformation.
• Build and maintain data pipelines for laboratory data.
• Transform raw data into structured datasets for analytics and reporting.
• Support Power BI dashboards and analytics automation.
• Work with REST APIs and system integrations.

Conoscenze

Python

SQL

APIs

Power BI

Data pipelines

Strumenti

Power BI

Descrizione del lavoro

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.
• Support extraction and analysis of data through appropriate, supported integration mechanisms.
• Analyze, and identify opportunities for standardization and reuse.
• Help create datasets that can be used for laboratory analytics and reporting.
• Work with laboratory application specialists to understand how laboratory data is generated and used.
• You do not need previous industry experience. We are looking for strong technical fundamentals and curiosity about laboratory technology.

3. Power BI & Analytics Automation

• Support automated Power BI datasets, create and improve dashboards and manage reporting pipelines.
• Build data transformations that eliminate manual Excel preparation.
• Investigate data-quality issues affecting dashboards and reports.
• Improve reliability and automation of recurring reporting processes.

4. Data Integration & APIs

• Work with REST APIs and system integrations.
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