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.
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
Individual development plan, professional development opportunities
Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
Local, virtual, and global team events
What You'll Do
Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, focusing 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, UT has 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 over 20 open‐source projects including Ansible, Terraform, NiFi, and Kafka.
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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