Senior Data Engineer

Senior Data Engineer - Databricks (m/f/*)Si desea conocer los requisitos para este puesto, siga leyendo para obtener toda la información relevante.Our Engineering department is growing, and we're now looking for a Senior Data Engineer-Databricks to join our team in Spain, supporting our global growth.Flexible work options, including fully remote or hybrid arrangements, are available for candidates located in Spain.OverviewAs 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 OfferFlexible 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.Local, virtual, and global team events, in which UT colleagues become acquainted with one another.ResponsibilitiesDesign, 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, governance, and security within the Databricks environment.Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.RequirementsDeep 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 UsUltra 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 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. xsgfvud EEO StatementUltra 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.ContactFor any questions, please contact us at #J-*****-Ljbffr#J-18808-Ljbffr