Healthcademia is an international company dedicated to the continuous education and professional development of healthcare professionals. We offer high-quality, advanced training programmes designed to empower professionals to achieve their career goals and make a meaningful impact in the healthcare sector.
Our programmes leverage the latest technologies, focus on practical skill development, and incorporate innovative learning methodologies to deliver an outstanding educational experience.
Today, Healthcademia operates across Europe, Latin America and the United Kingdom, supporting thousands of healthcare professionals throughout their learning journey.
Our mission is simple: to be the trusted partner of healthcare professionals throughout their lifelong learning journey.
Duties and responsibilities:
Design, develop, maintain and optimize ETL/ELT pipelines connecting operational systems to the new Data Platform.
Participate in the implementation and evolution of the Microsoft Fabric Data Lakehouse using the Medallion Architecture (Bronze, Silver and Gold).
Develop transformations from raw data into standardized, trusted and reusable datasets, including historical data capture.
Develop reusable data models, transformation logic and engineering standards that can scale across institutions and countries.
Support Gold-layer data products and semantic models consumed by Power BI and other analytical solutions.
Work with external partners during initial implementation and ensure effective knowledge transfer and internal ownership.
Collaborate with Finance, Sales, Marketing,



Academic and Operations teams to translate requirements and KPI definitions into robust data products.
Required experience & skills:
3–6+ years of professional experience in Data Engineering, Data Platform or similar roles.
Strong experience designing and developing ETL/ELT pipelines and advanced SQL skills.
Experience with cloud-based modern data platforms and Data Lake / Lakehouse architectures.
Experience with Python and/or PySpark for data processing.
Experience implementing data-quality checks, reconciliation processes and pipeline monitoring.
Experience integrating APIs and SaaS/business applications.
Familiarity with Git, CI/CD and software engineering practices applied to data.
Ability to understand complex business processes and translate them into data models and transformation rules.
Strong troubleshooting and analytical skills, with the ability to work autonomously across corporate, local and external teams.
Professional working proficiency in English and Spanish.
Experience in education, EdTech or another multi-entity / multi-country environment.
Value proposition:
Career stability
Flexibilidad horaria
Work from home / Telecommuting)
Medical insurance
Competitive compensation package)
Join Us
We are looking for passionate professionals who want to contribute to a project that makes a meaningful impact on the lives of thousands of people.
If you are inspired by education, innovation, and healthcare, we invite you to join our international team. At Healthcademia, you will work alongside experts from diverse disciplines in a dynamic, integral environment, helping shape the future of healthcare education through innovation and technology.

📌 DATA ENGINEER (EDUCATION SECTOR) (Madrid)
🏢 HEALTHCADEMIA EDUCATION IBERIA SLU
📍 Madrid