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. 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. 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. 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; 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 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 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) 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. Amazon Spain Services, S.L.

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