Our Engineering community 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.

As Senior Data Engineer (m/f/*), 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.

WHAT WE OFFER
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain)
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- 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
- Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
- Local, virtual, and integral team events, in which UT colleagues become acquainted with one another

WHAT YOU’LL DO
- 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,

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