Data Engineer - SQL (Remote)

We’re looking for a Data Engineer (Azure / Databricks) ready to take part in a large-scale data transformation project for an international mobility leader.

Join a global team driving the shift from legacy systems to a modern federated data architecture built on Databricks and Azure .



&##Location: Hybrid in Madrid (3 days remote)

&##Migrate and refactor existing ETL/ELT pipelines (SQL, Informatica, .NET) into Databricks notebooks using PySpark .



Ensure data quality, completeness, and performance during migration.



Collaborate with local data owners to validate and reconcile datasets.



Implement data quality checks , monitoring, and logging for Databricks workflows.



Support Infrastructure-as-Code automation using Terraform or similar tools.



Optimize performance and storage usage across the Databricks-managed Data Lake.



Align with global data standards and contribute to the federated data model design.





You’re a hands-on Data Engineer passionate about building scalable data pipelines and modernizing legacy environments.

You thrive in international, collaborative contexts and love solving complex data migration challenges.



~3–5 years of experience as a Data Engineer or ETL Developer .



~ Strong expertise in Azure Databricks (PySpark, SparkSQL, notebooks) .



~ Proven experience migrating legacy ETL logic into modern data pipelines.



~ Solid SQL skills and experience with query optimization .



~ Hands-on experience with Terraform or other IaC tools.



~ Proficiency in Git and Agile environments .



~ English working proficiency (Spanish or French is a plus).







30 days of holidays per year

&##Private medical insurance (up to 25.Training and certification support

&##Performance bonus & referral program (up to 1,500€ per referral)