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Salary
≈ $35k – $90k per year (Estimated)
Location
In office (Buenos Aires)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 14, 2026. Capgemini scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

¡Sumate a Capgemini!

Buscamos un/a Senior Data Engineer con fuerte experiencia en Databricks para incorporarse a proyectos globales de datos y analítica, colaborando con equipos distribuidos y participando en iniciativas de modernización de plataformas de datos.

Responsabilidades

  • Diseñar y desarrollar soluciones de datos basadas en Databricks.
  • Construir y mantener pipelines de datos escalables.
  • Implementar prácticas de DataOps y automatización.
  • Definir estándares de gobierno y calidad de datos.
  • Colaborar con equipos de negocio y tecnología para entregar soluciones analíticas.

Requisitos

  • +7 años de experiencia en Data Engineering.
  • Experiencia sólida en Databricks y Apache Spark (PySpark/Spark SQL).
  • Experiencia con dbt, Airflow o Databricks Workflows.
  • Dominio de SQL y Python.
  • Conocimientos de arquitectura Lakehouse y modelado de datos.
  • Experiencia trabajando sobre AWS, Azure o Google Cloud.
  • Inglés intermedio/avanzado.

Deseables

  • Experiencia con Kafka, Fivetran o Pub/Sub.
  • Conocimientos de Unity Catalog e Immuta.
  • Experiencia con Power BI.
  • Certificación Databricks Data Engineer Professional.
  • Conocimientos de AI/ML o soluciones GenAI.

Beneficios

Reintegro por gastos de virtualidad

Prepaga OSDE

Beneficiosen Megatlon y Fiter

Descuento del 70% en CUI (inglés, francés y portugués)

Cursos y Certificaciones en Udemy y Next

LI-LB21

Job Description - Grade Specific

Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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