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Sr Azure Data Engineer Jobs in Quebec (NOW HIRING)

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Utilize cloud-native data services, including Azure Storage, to optimize data management and ...

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Utilize cloud-native data services, including Azure Storage, to optimize data management and ...

Kronos Consulting

Be Seen First

French Bilingual Data Platform Engineer

Montreal, QC · On-site

CA$65 - CA$67/hr

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid ... Experience with workflow and orchestration tools such as Azure Data Factory and Airflow.

New

United Airlines

Data Engineer - Snowflake

Montreal, QC · On-site

Experience with cloud platforms such as Azure AWS or GCP * Knowledge of Git CICD pipelines and ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Tech Talent International

Data Engineer

Montreal, QC · On-site +1

CA$80 - CA$85/hr

Role: Data Engineer Type: Contract 37.5 hrs/week Location: Montreal area, but can be remote ... Azure or similar Experience in translating business requirements into advanced data models able to ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

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All JobsSr Azure Data Engineer JobsSr Azure Data Engineer Jobs in Quebec

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are popular job titles related to Sr Azure Data Engineer jobs in Quebec?

For Sr Azure Data Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Sr Azure Data Engineer jobs in Quebec look for?

The top searched job categories for Sr Azure Data Engineer jobs in Quebec are:

What cities in Quebec are hiring for Sr Azure Data Engineer jobs?

Cities in Quebec with the most Sr Azure Data Engineer job openings:

Sr Azure Data Engineer jobs near you
Infographic showing various Sr Azure Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer senior (Azure) - Contrat

MIA Innovation

Montreal, QC • On-site

Contractor

Posted 9 days ago

Job description

Mandat contractuel — Data Engineer senior (Azure)

Secteur : services juridiques

Montreal - Hybride ou Remote - Canada


Contexte

Un cabinet juridique en croissance développe une plateforme d'intelligence artificielle reposant sur un Data Lake et un système RAG (Retrieval Augmented Generation). Le présent mandat porte sur la fondation data de cette plateforme : consolider des données aujourd'hui dispersées entre plusieurs outils (gestion de cabinet juridique, comptabilité, gestion documentaire) dans un Modèle de Données Commun (CDM) propre, neutre et conforme, qui alimentera le pipeline RAG et les agents conversationnels.

L'équipe d'ingénierie IA est déjà en place et prend en charge tout l'aval (vectorisation, indexation, agents). Le mandat se concentre strictement sur l'ingénierie de données en amont : de la couche brute (Bronze) vers la couche normalisée (Silver / CDM).

Les données traitées relèvent du domaine juridique (dossiers, mandats, facturation, documents de cabinet) et sont par nature sensibles : le mandat s'exerce dans un cadre de confidentialité élevée et de conformité à la Loi 25.


Mission

Concevoir et livrer le pipeline qui transforme les données brutes en un CDM exploitable dans Cosmos DB, prêt à être consommé par le pipeline RAG.


Responsabilités principales

  • Développer les Azure Functions de transformation Bronze → Silver (architecture événementielle).
  • Parser et normaliser des structures JSON imbriquées complexes provenant des outils métier (dossiers, factures, lignes de facturation, contacts clients).
  • Concevoir et écrire le Modèle de Données Commun (CDM) dans Cosmos DB, en gardant le modèle neutre vis-à-vis des outils sources (un changement d'outil = un changement de connecteur, pas du CDM).
  • Mettre en place le nettoyage qualité : normalisation UTF-8 stricte (corruptions de caractères héritées d'anciens systèmes juridiques legacy et de fichiers macOS), gestion des dossiers incomplets ou mal liés.
  • Appliquer le filtrage de conformité : exclusion des champs sensibles (taux et conditions individuels, informations bancaires) de la chaîne destinée au RAG, en cohérence avec la Loi 25.
  • (Phase ultérieure) Développer la synchronisation documentaire via Microsoft Graph API (création/archivage de répertoires SharePoint déclenchés par le Change Feed Cosmos DB).
  • Documenter le pipeline et assurer le transfert de connaissances vers l'équipe d'ingénierie IA.


Hors périmètre

Vectorisation, embeddings, indexation Azure AI Search, conception des agents et des chatbots — pris en charge par l'équipe d'ingénierie IA. Aucune tâche de science des données (ML, modélisation statistique) n'est requise.


Compétences requises

Indispensables

  • Niveau : Senior et autonomie
  • Azure Functions (serverless, architecture événementielle)
  • Cosmos DB : modélisation et Change Feed
  • Azure Table Storage / Blob Storage
  • ETL/ELT, transformation et parsing de JSON imbriqué
  • Python et/ou .NET (selon la stack des Functions)
  • Pratiques de qualité de données (normalisation, déduplication, gestion des données incomplètes ou corrompues)

Atouts

  • Intégration d'API métier (gestion de cabinet juridique, comptabilité, Microsoft Graph API)
  • Expérience de données réelles dégradées issues de systèmes legacy (problèmes d'encodage, héritage de logiciels anciens)
  • Sensibilisation à la Loi 25 / protection des renseignements personnels, idéalement en contexte de données juridiques sensibles
  • Notions d'architecture orientée RAG (pour bien dimensionner la sortie du CDM)


Pourquoi ce rôle est critique

Le CDM est la fondation de la plateforme : tant qu'il n'est pas livré et propre, le pipeline RAG ne peut pas être alimenté. C'est une dépendance bloquante du chemin critique — d'où l'importance de pourvoir ce mandat en priorité et de démarrer dès l'ouverture du projet.

Note : le nettoyage de données réelles est à variance élevée. La durée est communiquée en fourchette afin d'absorber les imprévus de qualité de données.