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Senior data engineer (adá)

Adá
Ultra Tendency
Publicada el 26 noviembre
Descripción

Join to apply for the

Senior Data Engineer

role at

Ultra Tendency.

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.

What We Offer

Versátil 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 across 3 continents

Contribute your ideas to unique projects and make an impact by turning them into reality

Balance your work and personal life through workflow organization and decide your own setup (home, office, or hybrid)

Annual performance review and regular feedback cycles, generating value by connecting colleagues through networks rather than hierarchies

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, where UT colleagues become acquainted with one another

What You’ll Do

Design, implement, and maintain scalable data pipelines using the 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 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)

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 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 has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

We contribute source code to +20 open‑source projects, including Ansible, Terraform, NiFi, and Kafka.

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.

Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

Seniority Level, Employment Type, Job Function

Mid‑Senior level

Full‑time

Information Technology

Industries: Wireless Services

Did we pique your interest, or do you have any questions? We want to hear from you: contact us at

#J-18808-Ljbffr

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