Senior Engineer, Data Engineering

Our Engineering department is growing, and we're now looking for a Senior Data Engineer - Databricks (m / f / to join our team in Spain, supporting our global growth., * Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.

• Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
• Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
• Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
• Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
• Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.

• Deep hands-on experience with Databricks on Azure, AWS, or GCP including Spark (PySpark / Scala), Delta Lake, and MLflow.
• Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
• Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
• Experience with Databricks Workflows, Airflow, and infrastructure-as-code (e.g., Terraform).
• A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
• Professional Spanish & English communication skills (C1-level, written and spoken).

Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain). Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup. Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies. Individual development plan, professional development opportunities. Local, virtual, and global team events, in which UT colleagues become acquainted with one another.