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# Data Engineers

- **Company:** Amazon.com, Inc.
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Data Systems, Relational Databases, Data Storage Technologies, Data Management, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://www.amazon.jobs/applicant/jobs/10490011/apply

## About the Role

Experience in data engineering

 - Experience with data modeling, warehousing and building ETL pipelines
 - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
 - Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

 - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
 - Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
 - Knowledge of AWS Infrastructure

## Description

Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?

If this describes you, consider joining us. You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers. You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects. Your work will contribute to solving some of the most complex technical challenges in the company.

In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network., Design, implement, and automate scalable data pipelines for collecting, transforming, and processing data from multiple sources (Redshift, Glue)

 - Design and evolve data models and schemas ensuring accuracy, consistency, and alignment with single source of truth standards
 - Own the development and maintenance of curated reference datasets and data assets to drive key business decisions
 - Monitor and troubleshoot data quality issues and operational incidents in production pipelines
 - Drive architectural plans and implementation for future data storage and integration solutions
 - Collaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutions
 - Investigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platform

A day in the life
Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and data storage principles.


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