Data Platform Engineer for Education Sector

Healthcademia; Comunidad de Madrid; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

ETL Pipelines

SQL

Data Modeling

Python

PySpark

Data Quality

CI/CD

Git

APIs

Cloud Platforms

English

Spanish

Outils

Power BI

Description du poste

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.