Senior Clinical Data Engineer

pFlexible /p pVirtual, Madrid, Spain /p pWatford, Hertfordshire, United Kingdom /p pVirtual, Lisbon, Portugal /p pVirtual, Milano, Italy /p pFull time /p pR
- /p pAt 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. /p h3About the Role /h3 pMiniMed 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. /p pThe Senior Clinical Data Engineer will collaborate with cross‑functional teams, including Clinical Research, Biostatistics, RD, 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. /p h3Responsibilities may include the following and other duties may be assigned: /h3 ul lipDesign, develop, evaluate, and maintain data pipelines, programs, and workflows used to process, validate, and analyze clinical and medical device data. /p /li lipBuild 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. /p /li lipCollect, clean, transform, and standardize raw clinical and device data into high‑quality, analysis‑ready datasets for statistical analysis and reporting. /p /li lipPartner with Biostatistics and study teams to understand analytical requirements and deliver finalized datasets optimized for statistical software and downstream use. /p /li lipCollaborate with Medical Device and Software Engineering teams to align on data schemas, firmware updates, data payload specifications, and system integration requirements. /p /li lipIdentify data inconsistencies, perform root cause analysis, and implement solutions to ensure data quality, accuracy, and completeness. /p /li lipSupport clinical data management activities, including data mining, validation, reconciliation, and issue resolution across multiple data sources. /p /li lipContribute to the development and execution of data management plans that support study, project, and protocol timelines. /p /li lipProvide technical support for software user acceptance testing and review training materials, instructions, and documentation related to clinical data systems. /p /li lipServe as a liaison among Clinical Research, RD, Biostatistics, and other cross‑functional stakeholders to communicate timelines, requirements, and deliverables. /p /li lipApply software engineering best practices, including version control, CI/CD, and code review processes, to ensure reliable and maintainable solutions. /p /li lipWork independently on multiple projects in a deadline‑driven environment while maintaining a high level of quality and accountability. /p /li /ul h3Required Knowledge and

Experience:
/h3 ul lipBachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Statistics or a related field. /p /li lipMinimum of 4 years of relevant experience in clinical data engineering, clinical data management, data analytics, or a related technical field. /p /li lipStrong experience with SQL development and query optimization in Databricks and AWS Redshift. /p /li lipExperience developing and maintaining data pipelines using Databricks, PySpark, AWS services, and AWS Redshift. /p /li lipExperience working with structured and semi‑structured data formats, including JSON and CSV. /p /li lipKnowledge of clinical research data processes, clinical trial operations, and data quality principles. /p /li lipStrong analytical, problem‑solving, and troubleshooting skills. /p /li lipDemonstrated ability to collaborate effectively across technical and non‑technical teams. /p /li lipStrong written and verbal communication skills. /p /li lipAbility to work independently and manage multiple priorities in a fast‑paced environment. /p /li /ul h3Preferred

Qualifications:
/h3 pM.
S/Ph.
D. Computer Science, Engineering, Mathematics, Data Science /p ul lipExperience supporting clinical trials, medical device data, or regulated healthcare environments. /p /li lipFamiliarity with statistical analysis datasets and collaboration with Biostatistics teams. /p /li lipExperience with Git, CI/CD pipelines, and software development lifecycle best practices. /p /li lipKnowledge of data validation, reconciliation, a