Cloud Data Engineer: AWS, Spark & Airflow (Bilingual)

Multinational Company; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Multinational Company is seeking a Data Engineer in Madrid to design and optimize data pipelines using PySpark and SQL. You will work with AWS data analytics services and containerized deployments, building scalable solutions for analytics workloads.

Ideal candidates have 3+ years in Data Engineering, strong Python/SQL skills, and hands-on AWS experience. Fluent in Spanish and English, with a collaborative approach in an Agile environment.

Formación

• 3+ years in Data Engineering, including 2+ years leveraging AWS data analytics solutions.
• Proficiency in Python and SQL, with PySpark / Apache Spark.
• Hands-on experience with AWS Data Services, Docker, and AWS ECS.

Conocimientos

Data engineering

Python

SQL

Spanish & English fluency

Airflow

Herramientas

AWS Data Services

Docker

Apache Airflow

Databricks

dbt

QlikView / Qlik Sense

Java

Descripción del empleo

Multinational Company is seeking a Data Engineer in Madrid to design and optimize data pipelines using PySpark and SQL. You will work with AWS data analytics services and containerized deployments, building scalable solutions for analytics workloads.

Ideal candidates have 3+ years in Data Engineering, strong Python/SQL skills, and hands-on AWS experience. Fluent in Spanish and English, with a collaborative approach in an Agile environment.