Data Engineer: AWS, Spark & Airflow in Madrid

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

Descripción de la vacante

Multinational Company is seeking a Data Engineer to join our Madrid team. The role requires 3+ years in data engineering, with 2+ years using AWS data analytics services and hands-on experience in Python, SQL, and PySpark/Spark.

The ideal candidate will work with AWS Data Services and Docker, contribute to building robust data pipelines using Apache Airflow, and communicate fluently in Spanish and English.

Formación

• 3+ years in Data Engineering, including 2+ years leveraging AWS data analytics solutions.
• Core Tech Stack: Python, SQL, PySpark / Spark.
• Cloud & Infrastructure: hands-on with AWS Data Services, Docker, AWS ECS.
• Orchestration: building and managing data pipelines with Apache Airflow.
• Languages: fluency in Spanish and English (written and spoken).

Conocimientos

Python

SQL

PySpark / Apache Spark

Airflow

English language

Spanish language

Data engineering

Data pipelines

Herramientas

Docker

AWS ECS

AWS Data Services

Descripción del empleo

Multinational Company is seeking a Data Engineer to join our Madrid team. The role requires 3+ years in data engineering, with 2+ years using AWS data analytics services and hands-on experience in Python, SQL, and PySpark/Spark.

The ideal candidate will work with AWS Data Services and Docker, contribute to building robust data pipelines using Apache Airflow, and communicate fluently in Spanish and English.