DescriptionWe 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. 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 teamThe 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; Basic QualificationsExperience as a data engineer or related specialty (e.software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasetsExperience 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 architectureDemonstrated use of generative AI tools (e.agentic coding assistants, AI-powered IDEs) in a professional or project settingExperience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational supportExperience with cloud-native data services including data warehouses, object storage, event streaming, and serverless computeProficiency in Python and SQLPreferred QualificationsExperience designing or building AI agents or multi-agent solutions that automate engineering workflowsFamiliarity with agentic AI patterns including tool use, function calling, and multi-agent orchestrationFamiliarity with at least one agentic AI development IDEExperience building or maintaining shared data models, semantic layers, or data contractsFamiliarity with data governance, cataloging, or lineage trackingExperience contributing to shared platform infrastructure, developer tooling, or self-service data servicesFamiliarity with observability tooling for data pipelines (logging, metrics, alerting)Amazon is an equal opportunities employer. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.

📌 Data Engineer, Ring Agent Platforms (España)
🏢 Amazon
📍 España