Senior Data Engineer

Ultra Tendency; A distancia; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading data engineering consultancy in Spain is seeking a Senior Data Engineer to design and optimize data processing algorithms. The ideal candidate will have deep hands-on experience with Databricks and strong programming skills in Python or Scala. This role offers flexible work options, including fully remote or hybrid arrangements, and the opportunity to work on exciting projects within a supportive learning environment. Join a team that values constant learning and collaborative problem-solving.

Servicios

Flexible work options

Professional development opportunities

Educational resources like paid certifications

Formación

• Deep hands-on experience with Databricks on Azure, AWS, or GCP.
• Strong programming skills in Python or Scala.
• Solid understanding of distributed computing and data modeling.
• Familiarity with orchestration tools like Airflow.

Responsabilidades

• Design and maintain scalable data pipelines using Databricks.
• Lead development of batch and streaming data workflows.
• Collaborate with data scientists to translate data requirements into solutions.
• Optimize performance of Databricks clusters.

Conocimientos

Databricks

Apache Spark

Python

CI/CD Pipelines

Delta Lake

Machine Learning

Strong Communication

Herramientas

GitHub Actions

Azure DevOps

Terraform

Descripción del empleo

Senior Data Engineer - Databricks (m/f/*)

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.

Overview

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.

Local, virtual, and global team events, in which UT colleagues become acquainted with one another.

Responsibilities

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.

Requirements

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 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.

EEO Statement

Ultra 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.

Contact

For any questions, please contact us at #J-*****-Ljbffr