Our Engineering community is growing, and we're now looking for a Senior Databricks Data Engineer to join our team supporting our global growth.
Senior Databricks Data Engineer You design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
Contribute your ideas to our unique projects and make an impact by turning them into reality
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 integral team events, in which UT colleagues become acquainted with one another
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,
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 co

📌 Data Engineer Senior (Madrid)
🏢 Ultra Tendency
📍 Madrid