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?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.Come chart your own path at Amazon.Key job responsibilities - 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 platformA day in the lifeOur Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and data storage principles.It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. Yes, we do get to build really cool data solutions, but we also think a big reason for that is the inclusive and welcoming culture we try to cultivate every day.Our business is growing fast and our people will grow with it.About the teamMINT (Miles Intelligence and Truth), within Supply Chain Execution Data & Analytics, delivers end-to-end data solutions for EU Transportation. We build scalable pipelines and self-service tools that drive data-driven decisions across the organisation.Basic qualifications- 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 qualification - 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 InfrastructureAmazon 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.

📌 Ingegnere Dei Dati (Barcelona)
🏢 Amazon
📍 Barcelona