Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Company Introduction
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer.
We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing digital and data‑driven solutions that improve manufacturing performance, operational excellence, and decision‑making across our sites worldwide.
Join the PPI (Practical Process Improvement) Digital & Analytics team at Thermo Fisher Scientific as a Data Engineer , where you will contribute to the design and delivery of data solutions supporting manufacturing and operational excellence initiatives across multiple sites.
You will be part of a structured Data Engineering sub‑team , working alongside other Data Engineers and a Senior Data Engineer,



and collaborating closely with Data Science, IIoT, IT, and Digital Project Management teams. The role focuses on building reliable, scalable, and secure data platforms that enable analytics, reporting, and advanced digital use cases.
This position operates in a matrix, multi‑site environment , requiring strong collaboration skills, openness to shared ways of working, and the ability to balance priorities across different stakeholders and locations. The role offers the opportunity to grow technically while contributing to impactful digital transformation initiatives within a manufacturing context.
Design, develop, and maintain scalable data pipelines and ETL processes integrating data from multiple sources and systems.
Develop and manage data warehouses and data lakes, ensuring data quality, reliability, and performance.
Design and optimize databases and data models to support business intelligence and analytics use cases.
Implement da

📌 Data Engineer (Italia)
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