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 / Incentivos 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