Senior Data Engineer - Databricks (m/f/*) Location: Spain
What We Offer
Versátil 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
What You’ll Do
Design, implement, and maintain scalable data pipelines using the 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
What You’ll Bring
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
Familiarity with orchestration tools (e.g., 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)
About Us Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices. We design, build, and operate large‑scale data‑driven applications for major enterprises such as the European Central Bank, HUK‑Coburg, Deutsche Telekom, and Europe’s largest car manufacturer. Founded in Germany in ****, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.
We do more than just leverage tech, we build it. We contribute source code to +20 open‑source projects including Ansible, Terraform, NiFi, and Kafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot. We love the challenge: together, we tackle diverse and unique projects you will find nowhere else. In our knowledge community, you will be part of a supportive network, not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work‑life balance.
We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.
Data privacy statement: Data Protection for Applicants – Ultra Tendency
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Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Tobacco Manufacturing
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