Senior Data Engineer - Databricks

We offer a competitive compensation package aligned with Spanish market standards, based on experience, location, and qualifications.

• Work with leading enterprise customers across Europe.
• Be part of a rapidly growing Data & AI consultancy.
• Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI.
• Opportunity to shape and expand Ultra Tendency's Databricks practice.
• Continuous learning and certification support.
• Flexible and remote-friendly working environment.
• Competitive compensation package.
• Collaborative, entrepreneurial, and international culture.

Applicants must currently reside in Spain and possess the legal right to work in the country. Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.

Ultra Tendency is a global Data & AI consultancy with teams across Europe, Asia, and the Americas. As we continue to expand our presence across Europe, we are looking for a Senior Data Engineer - Databricks to join our growing team and contribute to the development of scalable data platforms for international clients.

In this role, you will work closely with data engineers, data scientists, architects, and business stakeholders to design and implement robust data solutions using modern cloud and data technologies.

• Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
• Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases.
• Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready solutions.
• Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments.
• Support the implementation of best practices for data quality, governance, security, and compliance.
• Contribute to architectural discussions and help shape modern data platform strategies for clients.
• Mentor and support junior engineers while fostering knowledge sharing across the team.

• Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala).
• Experience building and operating cloud-based data platforms on AWS, Azure, or GCP.
• Solid understanding of distributed data processing, data modeling, data warehousing, and performance optimization.
• Experience with CI/CD practices and version control systems such as Git.
• Familiarity with orchestration frameworks such as Airflow, Azure Data Factory, or Databricks Workflows.
• Experience working in agile and cross-functional environments.
• Strong communication skills in English & Spanish.
• A collaborative mindset and passion for building reliable, scalable, and maintainable data solutions.

We would love to hear from you. Apply today or reach out to learn more about the role, our team, and the exciting projects you'll have the opportunity to work on.