Lead Data Engineer F/H

CGI • French: C1 • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 3 days ago

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Salary

≈ $67k – $132k per year (Estimated)

Location

Hybrid (Paris, France)

Seniority

Staff

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 9, 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, l'une des plus grandes entreprises de conseil en technologie de l'information et en management au monde. En tant que Lead Data Engineer, vous serez responsable de la conception et de la mise en œuvre d'architectures de données modernes, du développement de pipelines de données performants et de l'accompagnement des Data Engineers. Vous travaillerez en étroite collaboration avec les équipes Data Science, IA, Analytics, Architecture et Métiers pour construire des solutions à forte valeur ajoutée.

Missions

Concevoir et piloter des architectures Data modernes basées sur Databricks ou Snowflake au sein d'environnements Cloud.
Développer et industrialiser des pipelines de données performants, robustes et sécurisés, et définir les bonnes pratiques de développement.
Accompagner les Data Engineers à travers du mentoring, des revues de code et le partage d'expertise, et collaborer avec les équipes Data Science.

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