IT Data Engineer - fixed term (RED… at Thermo Fisher… · Ferentino

IT Data Engineer - fixed term (RED PROGRAM) Location: Ferentino, Italy Work Schedule Other Environmental Conditions Office Job Description RED Program Introduction The Resources Empowerment and Development (R.E.D.) Program 2026 is designed for people who seek a performance-based culture that is built on meritocracy - ambitious, hard-working, passionate employees who deliver results will be rewarded. This program foresees three secondments in various functional groups where selected candidates will experience accelerated career opportunities throughout job rotations, having the chance to be part of different teams. The ultimate goal is to create formed professionals to work in IT team as Data Engineer. 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 solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Role Description Join our collaborative IT team as a Data Engineer at Thermo Fisher Scientific, where you'll contribute to data-driven decision-making across the organization. You'll analyze complex datasets, develop visualizations, and maintain key performance indicators (KPIs) that inform strategic business decisions. Working with cross-functional teams, you'll help identify process improvements, optimize operations, and ensure data quality and integrity throughout our systems. This role offers an opportunity to leverage your analytical skills while contributing to our mission of making the world healthier, cleaner, and safer. Requirements • Bachelor's Degree required, no prior experience required • Preferred Fields of Study: Computer Science, Engineering, Business, or related field • Additional relevant certifications in data analysis, statistics, or business intelligence a plus • Proficiency in data analysis tools and software, including Microsoft Excel, Access, and Power BI • Strong SQL querying and database management skills • Experience with data visualization and dashboard creation • Knowledge of statistical analysis and reporting methodologies • Excellent attention to detail and high degree of accuracy in data handling • Strong problem-solving abilities and analytical mindset • Proven ability to work independently and collaborate effectively in a team environment • Outstanding written and verbal communication skills • Ability to prioritize multiple projects and meet deadlines • Proficient English language skills, both written and spoken • Willingness to learn new technologies and adapt to changing business needs • Previous experience in the Pharma industry as long as international experiences will be considered a plus.