Expert(e) Data Engineer Databricks F/H

CGI • French: C1 • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 6 days ago

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Salary

≈ $50k – $82k per year (Estimated)

Location

Hybrid (Le Mans, France)

Seniority

Senior

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 23, 2026.

Overview

Company

Impact

Profile match

CGI

CGI is a Canadian IT and business consulting services firm headquartered in Montreal, Quebec, offering strategic consulting, systems integration, managed IT and application services and its own software products. Founded in 1976 and listed on the Toronto and New York stock exchanges, it employs about 94,000 consultants and professionals worldwide, with large operations in France, Canada, the United States through CGI Federal, the UK and India. Its openings include generative AI developers and tech leads, Java and Angular developers, business analysts, geomatics developers, cloud engineers with security clearance and graduate programmes.

cgi.com • HQ: Montreal, Canada • Management Consulting • IT Outsourcing & Dedicated Teams • Systems Integrators • IT Consulting & Digital Transformation • 5000+ employees • Est. 1976

Tech stack of CGI

Rejoignez CGI, une entreprise de conseil en technologie de l'information et en management. En tant qu'Expert Data Engineer Databricks, vous travaillerez sur des projets stratégiques de transformation des plateformes Data de nos clients. Vous serez responsable de la conception et du développement de pipelines de données, de la migration et de la modernisation des plateformes Data, et de l'optimisation des traitements distribués. Vous bénéficierez d'une offre complète de formations, d'une qualité de vie au travail, et d'avantages sociaux.

Missions

Concevoir et développer des pipelines de données robustes et évolutifs, et piloter des projets de migration et de modernisation Data.
Participer aux choix d'architecture et être force de proposition sur les solutions techniques adaptées aux enjeux métiers et technologiques.
Contribuer à la valorisation des données en vue d'usages avancés Analytics, Machine Learning et IA, et partager votre expertise avec les équipes Data.

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