
Data Engineer
- Madrid
- Permanente
- Tiempo completo
- Design and develop scalable data pipelines using Azure Data Factory and Databricks, implementing medallion architecture layers (bronze, silver, gold)
- Integrate and transform data from structured and unstructured sources using PySpark, SQL, Bash, and Scala
- Support CI/CD practices with Azure DevOps, ensuring data quality, lineage, monitoring, and performance tuning
- Collaborate in agile teams to deliver reliable, production-grade data products
- Bachelor's or Master's in Computer Science, Engineering, or related field, with 5+ years of Data Engineering experience
- Strong expertise in Azure services (Data Factory, Storage, DevOps) and hands-on experience with Databricks, Unity Catalog, and medallion architecture
- Proficiency in PySpark, SQL, Bash scripting, and Scala
- Experience building batch and near real-time data pipelines with a good understanding of cloud data governance and security
- Excellent problem-solving, collaboration, and communication skills in Englis
We trust our employees and offer a work environment that is well-balanced, productive and fosters success.Personal Development
You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.Agile Working Methods
Whether through scrum or design thinking,
we solve exciting tasks together in teams.