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)

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