AI-Driven Data Platform Engineer

Amazon; Madrid; Presencial; EUR 52.000 - 90.000; Jornada completa

Descripción de la vacante

Amazon in Madrid is seeking a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure powering analytics, science, and AI initiatives.

You will own the data lifecycle from ingestion to delivery, using AI development IDEs and automated agent-driven workflows. You will also contribute to the shared data platform and tooling to support the broader data org.

Formación

• Experience manipulating and extracting value from large datasets.
• Experience with Hive/Spark/HBase/YARN or programming/scripting in Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP.
• Demonstrated use of generative AI tools in professional or project settings.
• Experience with SDLC practices including code reviews, source control, CI/CD, testing, and operational support.
• Experience with cloud-native data services including data warehouses, object storage, event streaming, and serverless compute.
• Proficiency in Python and SQL.

Responsabilidades

• Design, build, and operate data pipelines, models, and platform infrastructure.
• Own end-to-end data lifecycle — ingestion, transformation, modeling, quality enforcement, and delivery.
• Build multi-agent solutions that automate data engineering tasks and improve velocity.
• Contribute to the shared data platform by enhancing tooling and supporting services.

Conocimientos

Data engineering

Hive/Spark/HBase/YARN

Generative AI tools

SDLC practices

Cloud data services

Python

SQL

Herramientas

Batch

VB

PowerShell

Java

C#

Chef

Perl

Ruby

PHP

Descripción del empleo

Amazon in Madrid is seeking a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure powering analytics, science, and AI initiatives.

You will own the data lifecycle from ingestion to delivery, using AI development IDEs and automated agent-driven workflows. You will also contribute to the shared data platform and tooling to support the broader data org.