Inetum
B2B • Enterprise • SaaS
Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.
10,000+ employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
💰 Post-IPO Equity on 2007-03
Data Engineer
November 4
🗣️🇪🇸 Spanish Required
Inetum
B2B • Enterprise • SaaS
Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.
10,000+ employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
💰 Post-IPO Equity on 2007-03
📋 Description
• Diseñar, desarrollar y optimizar sistemas distribuidos y pipelines de datos para procesamiento de datos a gran escala • Asegurar escalabilidad, baja latencia y tolerancia a fallos en todos los sistemas • Construir y mantener soluciones de análisis de streaming en tiempo real • Desarrollar capas de procesamiento de datos usando Java y/o Python • Implementar y gestionar flujos de trabajo usando Airflow y GitHub • Escribir y optimizar consultas complejas sobre grandes conjuntos de datos • Desarrollar y mantener trabajos de map-reduce • Apoyar la implementación y operación de pipelines de datos y soluciones analíticas • Realizar afinación de rendimiento en sistemas que manejan volúmenes masivos de datos • Crear servicios de datos API REST para consumo de datos • Colaborar en entornos de desarrollo ágil
🎯 Requirements
• 6–8 años de experiencia en desarrollo de Big Data • Expertise comprobada en ingeniería de datos y desarrollo de pipelines complejos • Alta competencia en SQL • Experiencia con tecnologías de Big Data: Hadoop, Hive, Kafka, Presto, Spark, HBase • Experiencia con plataformas en la nube: GCP, Azure (AWS es un plus) • Familiaridad con bases de datos relacionales y en memoria: Oracle, Cassandra, Druid • Experiencia en desarrollo de APIs RESTful • Experiencia práctica con Airflow y Git • Dominio conversacional del inglés.
🏖️ Benefits
• Programas de educación continua y certificaciones. • Acceso a plataformas de aprendizaje y desarrollo profesional. • Cultura de innovación y colaboración. • Programas de bienestar físico y emocional. • Oportunidades de crecimiento en proyectos internacionales. • Reconocimiento y recompensas por rendimiento. • Seguro de vida • Seguro médico mayor • Vales de despensa • Esquema 100% nómina
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