Who you are

- 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

- 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)

- 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

What the job involves

- 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

- MINT (Miles Intelligence and Truth), within Supply Chain Execution Data & Analytics, delivers end-to-end data solutions for EU Transportation. We are the Single Source of Truth (SSOT) team - creating and owning the trusted reference datasets across different EU Transportation areas. We build scalable pipelines and self-service tools that drive data-driven decisions across the organisation

📌 Data Engineer (Barcelona)
🏢 Amazon
📍 Barcelona