Data Engineer

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

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

Nice-to-Have Skills

• Data Processing & Streaming: Apache Kafka, Databricks, and dbt (data build tool).
• BI & Development: QlikView / Qlik Sense and Java programming.
• Methodology: Experience working in Agile/Scrum environments.