Senior Data Engineer (m/f/*)

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 global team events, in which UT colleagues become acquainted with one another

• Support the development and maintenance of data pipelines and ETL processes, with a focus on learning and applying Databricks technologies.


• Assist in data ingestion, transformation, and validation tasks across structured and semi-structured sources.


• Participate in team code reviews, documentation, and knowledge-sharing sessions to build Databricks proficiency.


• Collaborate with senior engineers to implement scalable solutions and gradually take ownership of Databricks workflows.


• Contribute to improving data quality, observability, and operational efficiency.

WHAT YOU’LL BRING

• Solid foundation in SQL and Python, with a strong interest in distributed data processing and cloud platforms.


• Eagerness to learn Databricks, Apache Spark, and modern data engineering practices.


• Familiarity with version control (e.g., Git) and basic understanding of cloud services (Azure, AWS, or GCP).


• Analytical mindset, attention to detail, and a collaborative attitude.


• Motivation to grow into a Databricks expert through hands-on experience and mentorship.


• Professional Spanish & English communication skills (C1-level, written and spoken).

Data privacy statement: Data Protection for Applicants – Ultra Tendency