Senior Clinical Data Engineer: Pipelines & Analytics Lead

MiniMed; Lombardia; On-site; EUR 70,000 - 110,000; Full time

Job summary

MiniMed in Lombardy is seeking a Senior Clinical Data Engineer to join our Bioinformatics team and build scalable data pipelines for clinical research, medical device studies, and real-world data initiatives.

You will collaborate with Clinical Research, Biostatistics, R&D and Software Engineering to ensure data quality and usability, leveraging SQL, Databricks, AWS, and PySpark to transform raw data into analysis-ready datasets that support evidence generation and informed decision-making.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or related field.
• Minimum of 4 years of relevant experience in clinical data engineering or related field.
• Strong experience with SQL development and query optimization in Databricks and AWS Redshift.
• Experience building data pipelines with Databricks, PySpark and AWS services.
• Experience with structured and semi-structured data formats such as JSON and CSV.
• Knowledge of clinical research data processes and data quality principles.
• Excellent communication and collaboration across technical and non-technical teams.

Responsibilities

• Design, develop, and maintain data pipelines and workflows for clinical and medical device data.
• Build automated ETL/ELT solutions using Databricks, PySpark, SQL, and AWS services.
• Prepare clean, analysis-ready datasets for statistical analysis and reporting.
• Collaborate with Biostatistics and study teams to meet analytical requirements.
• Align data schemas and system integration with Medical Device and Software Engineering teams.
• Identify data quality issues and implement root cause analysis and fixes.
• Support data management activities across multiple data sources.
• Contribute to data management plans to support study timelines.
• Provide technical support for software validation and training materials.
• Coordinate with cross-functional stakeholders on timelines and deliverables.
• Apply version control, CI/CD, and code review best practices for maintainable solutions.
• Manage multiple projects in a deadline-driven environment.

Skills

Analytical thinking

Problem solving

Communication

Team collaboration

Independent worker

Education

Bachelor's degree in Computer Science / Data Engineering

MS/PhD in Computer Science, Engineering, Mathematics, Data Science

Tools

SQL

Databricks

AWS Redshift

PySpark

JSON/CSV

Git

CI/CD

Job description

MiniMed in Lombardy is seeking a Senior Clinical Data Engineer to join our Bioinformatics team and build scalable data pipelines for clinical research, medical device studies, and real-world data initiatives.

You will collaborate with Clinical Research, Biostatistics, R&D and Software Engineering to ensure data quality and usability, leveraging SQL, Databricks, AWS, and PySpark to transform raw data into analysis-ready datasets that support evidence generation and informed decision-making.