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Publié il y a 6 jours

Data Engineer Senior

@ CGI

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Montréal, Québec

Temps plein
Postuler
SIGNAUX

En bref

CGI is hiring a senior data engineer to design, build, integrate and optimise data solutions, mainly on Azure. The work covers pipelines, integration flows, data models and consumption layers for clients, working with technical teams, architects, BI teams and business stakeholders. The posting states a full-time employment type and no schedule, pay or work arrangement.

Responsabilités :

  • Design and develop data pipelines and integration flows
  • Build data models and consumption layers
  • Optimise data solutions for reliability and quality
  • Collaborate with architects, BI teams and business stakeholders

Résumé des exigences :

  • Senior experience in data engineering
  • Experience with Azure analytics environments

Outils et compétences

Azure
Source et dates

Type de source non vérifié · njoyn

Date publiée par l’employeur
2026-11-01
Première détection par notre source
2026-11-06
Mise à jour du dossier source
2026-11-06

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Taille10001+
Siège socialE-Commerce Place
Offres sur Jobsy514
Description
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration flows, data models and consumption layers, enabling clients to utilise reliable, integrated and high-quality data.
They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions tailored to clients’ operational and analytical needs.

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