20 publicaciones de empleo destacadas de cloud observability engineer en getafe, md (¡Están contratando!)

Data Engineer , Ring Agent Platforms
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- SQL
- Desarrollo de software
- Inteligencia artificial
12d
Senior DevOps Engineer (AWS)
Duetto Research —Madrid, Madrid provincia
- De guardia
- Teletrabajo
- Informática
- DevOps
- Sistema operativo Windows
Solicitud rápida
Platform Architect
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Teletrabajo opcional
Solicitud rápida
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- Java
- Programa de recomendación
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Salesforce Tech Lead
GoodHabitz —Madrid, Madrid provincia
- Jornada completa
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- Salesforce
- DevOps
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- Vacaciones pagadas
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SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
IT Digital Application Support Engineer – Web & Mobile Platforms
Radisson Hotel Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
Net Developer
Ryanair Group Holdings —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
5h
Lead Creative Technologist
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Inglés
13d
Principal Software Engineer Marketplace
FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- APIs
Solicitud rápida
Databricks Manager
Cognizant —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- PMP
Platform Engineering Manager - Platform Shared Services
Frontiers Media —Madrid, Madrid provincia
- Horas extra
- Trabajo híbrido
- Azure
- Inglés
- Máster
Solicitud rápida
AI Software Engineering Analyst
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
Senior API Designer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Salesforce
- DevOps
- Parking gratuito
- Seguro de vida
Senior data engineer (Python) con inglés
Devoteam Spain —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- Inglés
Solicitud rápida
Platform Product Manager - Platform Shared Services
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
Data Engineering Lead
Chubb —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- SQL
- Plan de pensiones
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Senior AI Architect - Microsoft Technologies (relocation to the Netherlands)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- DevOps
- AWS
- Programa de recomendación
- Plan de pensiones

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Data Engineer , Ring Agent Platforms

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 12 días

Cualificaciones

CI/CD
Spark
SQL
Desarrollo de software
Cloud
Inteligencia artificial
Python
SDLC

Descripción completa 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

Non-internship professional experience in data engineering or a closely related discipline
Experience building and operating data pipelines (batch and/or streaming) using frameworks such as Spark, Airflow, dbt, or equivalent
Proficiency in Python and SQL
Experience with cloud-native data services including data warehouses, object storage, event streaming, and serverless compute
Familiarity with data modeling and data quality practices
Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting

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.

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