Overview In this role you build and maintain scalable data pipelines and trusted datasets to power decision-making across EU Transportation. You join the MINT team, a SSOT initiative, working with engineers to shape data infrastructure and governance. You will tackle data quality, storage, and integration challenges while collaborating with operations, finance, and science. This is a fast-paced role at Amazon that combines engineering rigor with business impact, offering mentorship and cross-functional exposure. Compensaciones / Ventajas * work-life balance * inclusive team culture * mentorship & career growth Responsabilidades * Design, implement, and automate scalable data pipelines (Redshift, Glue)



* Evolve data models and schemas to ensure accuracy and single source of truth * Develop and maintain curated reference datasets and data assets * Monitor data quality and troubleshoot production data incidents * Plan and implement future data storage and integration solutions * Collaborate with operations, finance, and science to translate requirements into data solutions * Investigate root causes of data defects to ensure reliability across the platform Requisitos principales * Experience in data engineering * Experience with data modeling, warehousing, and building ETL pipelines * Experience with SQL-based languages (e.g., SQL, PL/SQL) and other query languages * Experience with scripting (e.g., Python) * Understanding of data quality and data governance concepts * Cross-functional collaboration * Problem solving and analytical thinking * Communication and stakeholder management * SQL / PL-SQL / HiveQL / SparkSQL / Scala * Python scripting * ETL tools (Informatica, ODI, SSIS, BODI, Datastage)

📌 Data Engineer (Barcelona)
🏢 Amazon
📍 Barcelona