Senior Data Engineer - Databricks (Remote/Hybrid)

Ultra Tendency; Madrid; Híbrido; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A premier Data Engineering consultancy in Madrid is seeking a Senior Data Engineer experienced in Databricks and Python. This role offers flexible working conditions, where you will design and maintain scalable data pipelines and lead the development of data workflows. Ideal candidates have strong skills in cloud technologies and CI/CD practices, with a commitment to data quality and governance. This position fosters a supportive work environment to accelerate your career in data engineering.

Servicios

Flexible work options

Paid certifications

Annual performance review

Formación

• Deep hands-on experience with Databricks on Azure, AWS, or GCP.
• Strong programming skills in Python or Scala.
• Familiarity with orchestration tools like Databricks Workflows.
• Proactive mindset with strong communication skills.
• C1-level Spanish & English communication skills.

Responsabilidades

• Design, implement, and maintain scalable data pipelines using Databricks.
• Lead the development of batch and streaming data workflows.
• Collaborate with data scientists and business stakeholders.
• Optimize performance and cost-efficiency of Databricks jobs.
• Mentor junior engineers in Databricks best practices.

Conocimientos

Databricks

Python

Spark (PySpark/Scala)

Distributed computing

CI/CD pipelines

SQL

Data modeling

Orchestration tools

English

Spanish

Herramientas

Databricks Lakehouse Platform

Azure

AWS

GCP

Terraform

GitHub Actions

Descripción del empleo

A premier Data Engineering consultancy in Madrid is seeking a Senior Data Engineer experienced in Databricks and Python. This role offers flexible working conditions, where you will design and maintain scalable data pipelines and lead the development of data workflows. Ideal candidates have strong skills in cloud technologies and CI/CD practices, with a commitment to data quality and governance. This position fosters a supportive work environment to accelerate your career in data engineering.