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 general 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 another
WHAT 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
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