Data Engineer – Ppi Digital Transformation (multi-site)
PPD (Thermo Fisher) UK
Monza, Italy
Fully remote
Strong sql expertise with mssql and oracle
Experience with data warehousing and dimensional modeling
Proficiency in python for data processing
Join the PPI Digital & Analytics team at Thermo Fisher Scientific to contribute to impactful digital transformation initiatives within a manufacturing context
Job Summary
Join the PPI Digital & Analytics team at Thermo Fisher Scientific to contribute to impactful digital transformation initiatives within a manufacturing context.
The role involves building reliable, scalable, and secure data platforms that enable analytics, reporting, and advanced digital use cases across multiple sites.
This position operates in a matrix, multi-site environment requiring strong collaboration skills and the ability to balance priorities across different stakeholders and locations.
Matching Summary
Join the PPI Digital & Analytics team at Thermo Fisher Scientific to contribute to impactful digital transformation initiatives within a manufacturing context.
Skills & Requirements
Must-have
Strong SQL expertise with MSSQL and Oracle
Experience with data warehousing and dimensional modeling
Proficiency in Python for data processing
Experience with cloud platforms Azure and Microsoft Fabric
Development of scalable data pipelines and ETL processes
Collaboration in multi-site distributed teams
Nice-to-have
Knowledge of data governance frameworks
Experience with Git-based version control and CI/CD pipelines
Familiarity with IIoT and industrial data integration
Collaborative mindset and openness to mentoring
Interest in digital technologies applied to manufacturing
Proactive attitude and continuous learning focus
Key Requirements
Bachelor’s degree in Computer Science or related field
3+ years experience in Data Engineering or Business Intelligence
Fluency in English and Italian
Experience with Power BI data visualization
Preferred Master’s degree or industry certifications
Experience in manufacturing or enterprise digital environments