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Data & AI Infrastructure Engineer

Graduateland·Salary not specified

Primary stack

DataflowSQL

Nice to have's

ETL/ELTAPIsMicroservicesData Governance

Job description

About the Position

Data & AI Infrastructure Engineer

Bogota, Colombia

Veolia is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia Group designs and implements innovative solutions for decarbonization, depollution, and resource regeneration, supporting communities and industries in their ecological transformation. Within this framework, Veolia's Water Technology Business brings together a dedicated team of experienced professionals committed to tackling the world’s most complex challenges related to water scarcity, quality, productivity, and energy. Together, we pursue a shared mission to create a more sustainable future.

Buscamos un Data & AI Infrastructure Engineer altamente calificado para diseñar, optimizar y mantener nuestra infraestructura de datos de próxima generación. En este rol, serás pieza clave en la automatización de flujos de información y en la configuración de entornos avanzados (MCP) para potenciar modelos de lenguaje (LLMs) y agentes inteligentes. Si te apasiona la eficiencia en la nube, el rendimiento a gran escala y la arquitectura de datos robusta, ¡este desafío es para ti!

Responsibilities

  • Ingeniería & Pipelines: Desarrollar, automatizar y mantener flujos de ingesta de datos (ETL/ELT).
  • Infraestructura para IA: Configurar servidores y herramientas de Model Context Protocol (MCP) para la contextualización de LLMs, además de implementar bases de datos vectoriales para el soporte de agentes inteligentes.
  • Optimización & Rendimiento: Realizar tuning de rendimiento en consultas SQL y procesos distribuidos (Spark / Dataflow).
  • Gestión Cloud: Monitorear la facturación de servicios en la nube y proponer estrategias de optimización de costos.
  • Gobierno & Integración: Asegurar la integración de APIs y microservicios de datos, documentando la arquitectura de servicios y los diccionarios técnicos correspondientes.

Requirements

  • Educación: Profesional graduado en Estadística, Ingeniería de Sistemas, Matemáticas, Economía, Ingeniería Industrial o carreras afines.
  • Formación Complementaria: Deseable posgrado, especialización o diplomado en Ciencia de Datos, Analítica o Gestión de la Información.
  • Experiencia Requerida: Mínimo 2 años de experiencia comprobable en análisis de datos, modelado, visualización y manejo avanzado de herramientas de BI (Business Intelligence).

We Offer

  • Join a company that values Responsibility, Solidarity, Innovation, Customer Focus, and Respect.
  • Medical, Dental, & Vision Insurance Starting Day 1!
  • Life Insurance
  • Paid Time Off
  • Paid Holidays
  • Parental Leave
  • 401(k) Plan - 3% default contribution plus matching!
  • Flexible Spending & Health Saving Accounts
  • AD&D Insurance
  • Disability Insurance
  • Tuition Reimbursement

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity

Veolia does not accept unsolicited resumes from external recruiting firms. All vendors must have a current and fully executed MSA on file before submitting candidates. Any unsolicited resumes and candidate profiles will be deemed the property of the company and no fee will be due.

As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.

© Graduateland. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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