About This Role
Senior Data Engineer – Databricks (m/f/*)
Location: Spain (fully remote or hybrid options available)
We are looking for an experienced data engineer to design and optimize data processing algorithms on a talented, cross‑functional team. You should be familiar with the Apache open‑source suite and eager to contribute to the advancement of data engineering.
What We Offer
* Flexible work options – fully remote or hybrid arrangements (candidate must be located in Spain)
* Opportunity for career acceleration within a supportive learning community across 3 continents
* Work‑life balance through our workflow organization with independent choice of working at home, in the office, or hybrid
* Annual performance reviews and regular feedback cycles
* Individual development plan and professional development opportunities
* Educational resources such as paid certifications and unlimited access to Udemy Business
* Local, virtual and global team events to foster collaboration
What You’ll Do
* Design, implement, and maintain scalable data pipelines on the 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 such as 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)
* Proactive mindset, strong communication skills, and 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 now runs 8 branches in 7 countries across 3 continents.
We contribute source code to more than 20 open‑source projects, including Ansible, Terraform, NiFi, and Kafka, and we solve challenges that other companies cannot.
Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age. We provide data protection for applicants – Data Privacy Statement: Data Protection for Applicants – Ultra Tendency.
#J-18808-Ljbffr