Senior Clinical Data Engineer: Build Scalable Data Pipelines

Minimed; Madrid; On-site; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Flexible benefits package

Job summary

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team. You will design and optimize scalable data pipelines, integrate diverse data sources, and deliver high-quality datasets for analytics and decision-making.

You will collaborate with Clinical Research, Biostatistics, and Software Engineering to ensure data integrity, implement CI/CD, and support regulatory data practices across multiple studies.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or a related field.
• Minimum of 4 years of relevant experience in clinical data engineering or related technical field.
• Strong experience with SQL development and query optimization in Databricks and AWS Redshift.
• Experience building data pipelines using Databricks, PySpark, AWS services and Redshift.
• Familiarity with JSON and CSV data formats and data quality concepts.

Responsibilities

• Design, develop, evaluate, and maintain data pipelines and workflows for clinical and medical device data.
• Build automated ETL/ELT solutions to ingest and transform structured and semi-structured data.
• Prepare analysis-ready datasets for statistical software and reporting.
• Collaborate with Biostatistics and study teams to meet analytical requirements.
• Coordinate with Clinical Research, R&D, and Software Engineering on data schemas and integrations.
• Support data management activities, validation, reconciliation, and issue resolution.

Skills

SQL

Databricks

AWS

PySpark

Data pipelines

CI/CD

Git

Education

Bachelor's degree in Computer Science or related field

MS/PhD in CS/Engineering/Data Science

Tools

AWS Redshift

Python

Git

CI/CD pipelines

Job description

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team. You will design and optimize scalable data pipelines, integrate diverse data sources, and deliver high-quality datasets for analytics and decision-making.

You will collaborate with Clinical Research, Biostatistics, and Software Engineering to ensure data integrity, implement CI/CD, and support regulatory data practices across multiple studies.