Data Engineer - Amazon

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 xcskxlj 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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