Senior Clinical Data Engineer
Pubblicato il 19-10-2026 - MiniMed in Italia
Flexible
Si ricordi di controllare il suo CV prima di candidarsi. Inoltre, si assicuri di leggere tutti i requisiti relativi a questo ruolo.
Virtual, Madrid, Spain
Watford, Hertfordshire, United Kingdom
Virtual, Lisbon, Portugal
Virtual, Milano, Italy
Tempo pieno
R-802143
At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
About the Role
MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team and play a key role in developing scalable data solutions that support clinical research, medical device studies, and real-world data initiatives. This role is responsible for building and optimizing data pipelines, integrating complex data from multiple sources, and transforming raw data into high-quality datasets that enable analytics, evidence generation, and informed decision‑making.
The Senior Clinical Data Engineer will collaborate with cross‑functional teams, including Clinical Research, Biostatistics, R&D;, and Software Engineering, to ensure data quality, consistency, and usability across a diverse data ecosystem. The ideal candidate will have strong experience with SQL, Databricks, AWS, and AWS Redshift, as well as a proven ability to operate independently and deliver results in a dynamic environment.
Responsibilities may include the following and other duties may be assigned:
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- Design, develop, evaluate, and maintain data pipelines, programs, and workflows used to process, validate, and analyze clinical and medical device data.
- Build and support automated ETL/ELT solutions using Databricks, PySpark, SQL, and AWS services to ingest and transform structured and semi‑structured data, including JSON and CSV files.
- Collect, clean, transform, and standardize raw clinical and device data into high‑quality, analysis