Experteer Overview In this role, you will design and automate scalable data pipelines to collect, transform, and process data from multiple sources. You’ll shape data models and curated datasets that serve as the single source of truth for key business decisions. You will own data quality, troubleshoot production issues, and drive future storage and integration architectures. Collaborating with cross‑functional teams, you’ll translate requirements into reliable data solutions and contribute to mission‑critical initiatives. The opportunity focuses on impactful data infrastructure within Amazon’s EU Transportation domain, offering growth, mentorship, and a strong culture of inclusion.

Compensaciones / Ventajas • Design, implement,



and automate scalable data pipelines using Redshift and AWS Glue • Evolve data models and schemas to ensure accuracy and alignment with single source of truth • Own development/maintenance of curated reference datasets to inform business decisions • Monitor, troubleshoot, and resolve data quality issues and production incidents • Lead architectural planning for future storage and integration solutions • Collaborate with stakeholders across operations, finance, and science to translate requirements • Investigate root causes of data defects to ensure reliability across the platform

Responsabilidades • Experience in data engineering • Experience with data modeling, warehousing and ETL pipelines • Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala) • Experience with one or more scripting languages (e.g., Python)

Requisitos principales • work-life balance • mentorship u0026 career growth • inclusive culture • opportunities for professional development

📌 Data Engineer (Madrid)
🏢 Amazon
📍 Madrid