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. work-life balance inclusive team culture mentorship & career growth 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 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 Python scripting ETL tools (Informatica, ODI, SSIS, BODI, Datastage)

📌 Data Engineer - Amazon (Cataluña)
🏢 Amazon
📍 Cataluña