Senior Clinical Data Engineer — Cloud Data Pipelines

ESP-MiniMed Spain S.L.; España; A distancia; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and flexible benefit

Descripción de la vacante

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team in Spain, driving scalable data solutions that support clinical research, medical device studies, and real-world data initiatives. You will design and optimize data pipelines, integrate diverse data sources, and transform raw data into high-quality datasets for analytics and decision-making.

The role requires strong SQL, Databricks, AWS, and PySpark experience, with the ability to collaborate across Clinical

Formación

• Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or a related field.
• 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.

Responsabilidades

• 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.
• Serve as a liaison among Clinical Research, R&D, Biostatistics, and other cross-functional stakeholders to communicate timelines, requirements, and deliverables.
• 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.

Conocimientos

SQL proficiency

Data analytics

Problem solving

Communication

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Databricks

AWS

AWS Redshift

PySpark

JSON/CSV data formats

Descripción del empleo

MiniMed is seeking a Senior Clinical Data Engineer to join our Bioinformatics team in Spain, driving scalable data solutions that support clinical research, medical device studies, and real-world data initiatives. You will design and optimize data pipelines, integrate diverse data sources, and transform raw data into high-quality datasets for analytics and decision-making.

The role requires strong SQL, Databricks, AWS, and PySpark experience, with the ability to collaborate across Clinical