Senior Data Engineer

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.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 anotherWHAT YOU’LL DO- Design, 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.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).Did we pique your interest, or do you have any questions?We want to hear from you : contact us at 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