Data Engineer (education sector)

Healthcademia; Comunidad de Madrid; On-site; EUR 45,000 - 75,000; Full time

Job summary

Healthcademia seeks a Data Engineer to lead the design, build, and evolution of our data platform. You will own ETL/ELT pipelines, integrate with various data sources, and support data products used by Power BI and analytics tools. You will collaborate with Finance, Sales, Marketing, Academic and Operations to translate requirements into robust data models.

You will work with English and Spanish in a multi-entity environment, driving reliability, scalability, and knowledge transfer across teams.

Qualifications

• 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.

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.

Skills

ETL Pipelines

SQL

Data Modeling

Python

PySpark

Data Quality

CI/CD

Git

APIs

Cloud Platforms

English

Spanish

Tools

Power BI

Job description

We are looking for a Data Engineer who will play a key role in the implementation, operation and continuous evolution of our platform. Reporting directly to the CIO Southern Europe.

The role combines hands-on data engineering, data quality, integration and business understanding. Over time, the position will take increasing ownership of the local data engineering capability, ensuring that the platform remains reliable, scalable and aligned with business requirements.

Key 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.

At HEALTHCADEMIA, we firmly believe in equal opportunities. We value and celebrate diversity in all its forms: ethnic background, gender, age, sexual orientation, gender identity, disability, religion, socio-economic background, or any other personal characteristic.

We promote an inclusive, respectful and safe working environment where everyone can develop both professionally and personally. We invite you to apply regardless of who you are or where you come from — what truly matters to us is your talent, your passion and your desire to grow.