Data Engineer, Ring Agent Platforms

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

Description

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and platform infrastructure that power Ring's analytics, science, and AI initiatives. You will own the end-to-end data lifecycle - ingestion, transformation, modeling, quality enforcement, and delivery - ensuring that analysts, scientists, and AI systems have access to reliable, well-structured data at scale.

You will use AI development IDEs and generative AI tooling daily to accelerate your work, and you will build multi-agent solutions that automate common data engineering tasks - pipeline generation, data quality enforcement, testing, and operational response. The goal is to turn repeatable patterns into agent-driven workflows that raise velocity and consistency across the team.

You will also contribute to the shared data platform when needed - improving developer tooling, maintaining infrastructure, and supporting the services that the broader data org depends on.

About the team

The Data and Agents Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.

Basic Qualifications

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
• Experience in Hive/Spark/Hbase/Yarn, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience in any Bigdata architecture
• Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting
• Experience with software development life cycle 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

Preferred Qualifications

• Experience designing or building AI agents or multi-agent solutions that automate engineering workflows
• Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration
• Familiarity with at least one agentic AI development IDE
• Experience building or maintaining shared data models, semantic layers, or data contracts
• Familiarity with data governance, cataloging, or lineage tracking
• Experience contributing to shared platform infrastructure, developer tooling, or self-service data services
• Familiarity with observability tooling for data pipelines (logging, metrics, alerting)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.