Data Engineer role focusing on end-to-end data pipelines in Azure environment. Hybrid work model at Deloitte with strong emphasis on collaboration and continuous learning culture.
Responsibilities
Diseñar, desarrollar y mantener pipelines de datos end-to-end, desde la ingesta hasta la capa de consumo
Implementar procesos de ingesta de datos desde múltiples fuentes (APIs, bases de datos, ficheros, sistemas externos)
Desarrollar procesos de transformación y enriquecimiento de datos asegurando calidad, trazabilidad y eficiencia
Diseñar y optimizar modelos de datos orientados a analítica y reporting
Trabajar con servicios de Azure como: Azure Data Factory para orquestación de pipelines, Azure Data Lake Storage para almacenamiento de datos, Azure Synapse, Databricks y/o Microsoft Fabric para procesamiento y transformación
Implementar buenas prácticas de versionado, control de errores, logging y monitorización de pipelines
Colaborar con equipos de BI, analítica y negocio para entender requisitos y traducirlos a soluciones técnicas
Participar en decisiones de arquitectura de datos y mejora continua de las soluciones existentes
Documentar los desarrollos y flujos de datos de forma clara y mantenible
Requirements
Al menos 2 años de experiencia en proyectos de Data Engineering o backend orientados a datos
Experiencia en Azure (Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake o Microsoft Fabric) o AWS
Experiencia programando en Python y SQL
Conocimientos de modelado de datos y arquitecturas tipo Data Lake / Data Warehouse / Lakehouse
Nivel intermedio de inglés
Benefits
Modelo de trabajo híbrido-flexible
Sistema de retribución flexible
Servicio médico
Seguro de salud
Seguro de vida y accidente
Plan de formación a lo largo de tu trayectoria profesional
Cultura de feedback para fomentar el aprendizaje continuo
Participación en programas de acción social y voluntariado de alcance nacional e internacional
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