Data Engineer - Industrial Platform (Hybrid: 1 Day Remote)

Verdalia Bioenergy; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Strategic role with real impact

Dynamic and fast-growing environment

Opportunity to work on a modern data platform

Descripción de la vacante

Verdalia Bioenergy is looking for a Data Engineer in Madrid to build and scale data infrastructure that supports decision-making across various teams. This role entails hands-on responsibility for data quality and governance as a key contributor to the data architecture.

Applicants should have 6+ years of experience in data engineering with strong SQL skills, proficiency in Python, and capabilities in Azure and Databricks. The position offers a hybrid work model, emphasizing collaboration and innovation.

Formación

• 6+ years of experience in data engineering.
• Experience in industrial or operational environments.
• Excellent communication skills across technical and non-technical teams.

Responsabilidades

• Design, build, and maintain a scalable data infrastructure.
• Define and enforce data validation standards.
• Collaborate cross-functionally with engineers and analysts.

Conocimientos

Strong SQL skills

ETL/ELT experience

Proficiency in Python, Java, or Scala

Data modeling and warehousing knowledge

Experience with Azure and Databricks

Data governance experience

Familiarity with data quality tools

Educación

Degree in Computer Science, Engineering, or a related field

Herramientas

Spark

Hadoop

Docker

Kubernetes

Descripción del empleo

Verdalia Bioenergy is looking for a Data Engineer in Madrid to build and scale data infrastructure that supports decision-making across various teams. This role entails hands-on responsibility for data quality and governance as a key contributor to the data architecture.

Applicants should have 6+ years of experience in data engineering with strong SQL skills, proficiency in Python, and capabilities in Azure and Databricks. The position offers a hybrid work model, emphasizing collaboration and innovation.