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 idóneo 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.
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‑ready datasets for statistical analysis and reporting.
Partner with Biostatistics and study teams to understand analytical requirements and deliver finalized datasets optimized for statistical software and downstream use.
Collaborate with Medical Device and Software Engineering teams to align on data schemas, firmware updates, data payload specifications, and system integration requirements.
Identify data inconsistencies, perform root cause analysis, and implement solutions to ensure data quality, accuracy, and completeness.
Support clinical data management activities, including data mining, validation, reconciliation, and issue resolution across multiple data sources.




Contribute to the development and execution of data management plans that support study, project, and protocol timelines.
Provide technical support for software user acceptance testing and review training materials, instructions, and documentation related to clinical data systems.
Apply software engineering best practices, including version control, CI/CD, and code review processes, to ensure reliable and maintainable solutions.
Work independently on multiple projects in a deadline‑driven environment while maintaining a high level of quality and accountability.
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, clinical data management, data analytics, or a related technical field.
Strong experience with SQL development and query optimization in Databricks and AWS Redshift.
Experience developing and maintaining data pipelines using Databricks, PySpark, AWS services, and AWS Redshift.
Experience working with structured and semi‑structured data formats, including JSON and CSV.
Knowledge of clinical research data processes, clinical trial operations, and data quality principles.
D. in Computer Science, Engineering, Mathematics, or Data Science.
Experience supporting clinical trials, medical device data, or regulated healthcare environments.
Familiarity with statistical analysis datasets and collaboration with Biostatistics teams.
Experience with Git, CI/CD pipelines, and software development lifecycle best practices.
Knowledge of data validation, reconciliation, and regulatory expectations related to clinical data.




Experience working with cross‑functional teams including Clinical Research, R&D;, and Software Engineering.
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
For more than 40 years, we've been redefining what's possible, from intelligent dosing systems designed for real life to predictive insights that stay a step ahead, and we're dedicated to continuing to support our customers through every step of their journey — meeting them where and how they need it.
MiniMed is a full‑stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey — when and how they need it. With a heritage rooted in technology, empathy, and a relentless pursuit of innovation, we’re focused on one thing: making every day a better day for people with diabetes.
From our intelligent dosing systems that stay one step ahead to our always‑on support when it’s needed most, we’re committed to building a connected system of care that works together and fits into everyday life, so people with diabetes can move through the day with fewer interruptions. Many of our employees have a connection to diabetes, whether they're living with it themselves or through family members and friends, and we all show up each day to help make the lives of our coworkers and loved ones easier. It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.

📌 Clinical Data Engineer (España)
🏢 ESP-MiniMed Spain
📍 España