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Data Engineering Jobs in Quebec (NOW HIRING)

Within our data engineering team, you will play a strategic role in evolving and optimizing our Data & AI infrastructure, both in the cloud and on-premises. You will be a key contributor to ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

$90 - $120/hr

Awardedfour Emmys for Technology and Engineering from the National Academy of Television Arts and ... Haivision's data ecosystem is evolving rapidly, with multiple operational systems, reporting ...

Approximately 3-5 years of experience in data or database engineering * Strong experience with DB2 * Experience with Snowflake * Proficiency in Python and SQL * Experience supporting production ...

With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and ...

Minimum 3 ans en analytics engineering, data engineering ou developpement BI avec livraison en production * Maitrise du SQL analytique avance et experience en modelisation de donnees * Git au ...

SYSTRA Canada is an engineering and consulting firm whose primary focus is to offer transportation ... Data Lake Storage Gen2, Data Factory, Synapse, Key Vault, etc. • Strong command of Databricks ...

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Data Engineering information

See Quebec salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data engineering in Quebec is $135,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $172,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Quebec? The most popular types of Data Engineering jobs in Quebec are:
What are popular job titles related to Data Engineering jobs in Quebec? For Data Engineering jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Quebec look for? The top searched job categories for Data Engineering jobs in Quebec are:
Infographic showing various Data Engineering job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Ingnieur(e) de donnes - Data Engineer

Foodtastic

Montreal, QC • On-site

Full-time

Posted 12 days ago


Job description

Salary:

About us:

Founded in 2016, Foodtastic is already one of the largest restaurant companies in Canada. We have increased system sales in the last five years from less than $50mm to over $1B. Our current portfolio of 27 brands includes Milestones Grill & Bar, Second Cup Caf, Pita Pit, Quesada, La Belle et La Boeuf, and Rtisseries Benny.

We are passionate about building our franchisee partnerships and providing our guests with a memorable dining experience. Our growth would not be possible without our people's creativity, dedication, and entrepreneurship. We continue to build the team and always look for exceptional candidates to join Foodtastic.


Role Overview

Data Engineer

The primary responsibility is to assist with the integration and management of data from various systems including Point-of-Sale (POS) systems, social media platforms, and various other systems as required. By ensuring accurate and reliable data integration, this role enables data-driven decision-making, enhances operational efficiency, and fosters a comprehensive understanding of the business's performance across all brands.


DATABRICKS PLATFORM OWNERSHIP

  • Own and administer the Databricks workspace clusters, jobs, notebooks, Delta architecture, and workspace configuration.
  • Engineer reliable, high-performance ETL/ELT pipelines using PySpark and SQL to process POS, transactional, and operational data.
  • Apply Delta Lake and Unity Catalog best practices: schema evolution, partitioning, ACID transactions, and version control.
  • Continuously monitor and optimize cluster performance, job runtimes, and infrastructure cost across brands and environments.

DATA INGESTION & PROCESSING

  • Automate ingestion of daily sales, transactions, inventory, and operational data from POS systems, suppliers, and external feeds.
  • Guarantee data completeness and integrity through validation, audit logging, and anomaly detection (e.g., missed stores, duplicate days).
  • Standardize ingestion across structured and semi-structured formats (CSV, JSON, Parquet).

SECURITY, GOVERANCE & COMPLIANCE

  • Enforce enterprise-grade data security, encryption, and access control across Azure and Databricks.
  • Implement RBAC, Unity Catalog governance, and workspace permissions aligned with IT and compliance standards. Manage credentials and secrets securely via Azure Key Vault and managed identities.
  • Maintain lineage, metadata documentation, and version-controlled pipelines for all production systems.
  • Apply infrastructure-as-code (Terraform/Bicep) and CI/CD for consistent and auditable deployments.

DATA QUALITY, OBSERVABILITY & RELIABILITY

  • Implement automated data validation frameworks and proactive alerting to catch anomalies (e.g., missing files, negative sales, outliers). Define and monitor SLAs/SLOs for data delivery and pipeline uptime.
  • Partner with DevOps to enhance logging, monitoring, and backup strategies across environments. Drive a reliability-first culture ensuring every dataset powering reporting or decision-making is trusted and traceable.

BI INTEGRATION & ENABLEMENT

  • Deliver curated, analytics-ready data sets optimized for Power BI and enterprise reporting. Support BI teams with incremental refresh logic, optimized DAX/SQL performance, and metadata consistency.
  • Validate upstream changes to prevent downstream reporting disruptions. Document transformations, schemas, and dependencies to maintain transparency and continuity.
  • Enable brand-level and corporate-level visibility by structuring data for flexible aggregation and comparison.


REQUIRED EXPERIENCE AND SKILLS

  • 2+ years in data engineering or cloud data infrastructure, preferably within retail, restaurant, or multi-location operations.
  • Advanced proficiency in Databricks (asset), Python, SQL, DevOps, Power BI.
  • Proven ability to build and maintain data pipelines powering operational dashboards and financial reporting.
  • Experience implementing data quality and observability frameworks.
  • Must reside within the greater Montreal area


COMPANY BENEFITS

  • Market related compensation
  • Complimentary coffee, drinks and snacks at the office
  • Free parking at the office
  • Free access to the gym (Montreal office)
  • Summer Fridays
  • 1 hour lunch paid
  • Virtual health care
  • Company social events
  • Group insurance plan, including health, dental and long-term disability.


Bilingual Requirement (English/French):
This role requires proficiency in both French and English due to the national scope of the work and the diverse stakeholders involved. The position supports multiple brands operating across Quebec and English-speaking regions of Canada, necessitating effective communication in both official languages. The incumbent will collaborate with cross-functional teams located in different provinces, where English and French are used interchangeably depending on the region and audience.

Strong written and verbal communication skills in both languages are essential to ensure clarity, consistency, and alignment in day-to-day interactions, project execution, and deliverables. Bilingualism enables the role to effectively engage with partners, contribute to national initiatives, and ensure that communications and materials are accessible and relevant to all audiences across Canada.

_______________________________________________________________________

propos de nous:

Fond en 2016, Foodtastic est une des plus grandes compagnies de restaurants au Canada. Durant les cinq dernires annes, les ventes totales de lensemble des restaurants sont passes de 50mm de $ plus de 1 milliard de $. Notre portfolio de 27 chanes de restaurants inclus Milestones, Second Cup, Pita Pit, Quesada, La Belle et La Buf et les Rtisseries Benny.

Nous sommes dvous crer des relations extraordinaires avec nos franchiss et offrir tous nos client une exprience culinaire mmorable. Notre croissance ne serait pas possible sans la crativit, le dvouement et l'esprit entrepreneurial de nos collaborateurs. Nous continuons dvelopper l'quipe et sommes toujours la recherche de candidats exceptionnels pour joindre Foodtastic.

Aperu du poste

Ingnieur(e) de donnes


La principale responsabilit de ce poste est de contribuer l'intgration et la gestion des donnes provenant de divers systmes, notamment les systmes de point de vente (PDV), les plateformes de mdias sociaux et divers autres systmes selon les besoins. En assurant une intgration de donnes prcise et fiable, ce rle permet une prise de dcision fonde sur les donnes, amliore l'efficacit oprationnelle et favorise une comprhension globale de la performance de l'entreprise pour l'ensemble des marques.


PROPRIT DE LA PLATEFORME DATABRICKS

  • Assurer la proprit et l'administration de l'espace de travail Databricks clusters, tches, notebooks, architecture Delta et configuration de l'espace de travail.
  • Concevoir des pipelines ETL/ELT fiables et performants l'aide de PySpark et SQL pour traiter les donnes de PDV, transactionnelles et oprationnelles.
  • Appliquer les meilleures pratiques de Delta Lake et Unity Catalog : volution des schmas, partitionnement, transactions ACID et contrle des versions.
  • Surveiller et optimiser en continu la performance des clusters, la dure d'excution des tches et les cots d'infrastructure pour l'ensemble des marques et des environnements.

INGESTION ET TRAITEMENT DES DONNES

  • Automatiser l'ingestion quotidienne des donnes de ventes, transactions, inventaire et oprations provenant des systmes de PDV, des fournisseurs et des flux externes.
  • Garantir l'exhaustivit et l'intgrit des donnes grce la validation, la journalisation d'audit et la dtection d'anomalies (p. ex., magasins manquants, journes en double).
  • Normaliser l'ingestion pour les formats structurs et semi-structurs (CSV, JSON, Parquet).

SCURIT, GOUVERNANCE ET CONFORMIT

  • Faire respecter la scurit des donnes, le chiffrement et le contrle d'accs de niveau entreprise sur Azure et Databricks.
  • Mettre en uvre le contrle d'accs bas sur les rles (RBAC), la gouvernance Unity Catalog et les autorisations d'espace de travail conformes aux normes informatiques et de conformit. Grer les identifiants et les secrets de manire scurise via Azure Key Vault et les identits gres.
  • Assurer le suivi de la traabilit (lineage), la documentation des mtadonnes et le contrle des versions des pipelines pour tous les systmes de production.
  • Appliquer l'infrastructure en tant que code (Terraform/Bicep) et l'intgration/dploiement continus (CI/CD) pour des dploiements cohrents et auditables.

QUALIT DES DONNES, OBSERVABILIT ET FIABILIT

  • Mettre en uvre des cadres de validation automatise des donnes et des alertes proactives pour dtecter les anomalies (p. ex., fichiers manquants, ventes ngatives, valeurs aberrantes). Dfinir et surveiller les ANS/ONS (SLA/SLO) relatifs la livraison des donnes et la disponibilit des pipelines.
  • Collaborer avec l'quipe DevOps pour amliorer la journalisation, la surveillance et les stratgies de sauvegarde dans tous les environnements. Promouvoir une culture axe sur la fiabilit afin que chaque ensemble de donnes alimentant les rapports ou la prise de dcision soit fiable et traable.

INTGRATION ET SOUTIEN L'INFORMATIQUE DCISIONNELLE (BI)

  • Fournir des ensembles de donnes organiss et prts pour l'analyse, optimiss pour Power BI et les rapports d'entreprise. Soutenir les quipes BI en matire de logique d'actualisation incrmentielle, d'optimisation des performances DAX/SQL et de cohrence des mtadonnes.
  • Valider les changements en amont afin de prvenir les perturbations des rapports en aval. Documenter les transformations, les schmas et les dpendances afin de maintenir la transparence et la continuit.
  • Permettre une visibilit au niveau des marques et de l'entreprise en structurant les donnes pour une agrgation et une comparaison flexibles

EXPRIENCE ET COMPTENCES REQUISES

  • Plus de 2 ans d'exprience en ingnierie des donnes ou en infrastructure de donnes en nuage (cloud), de prfrence dans le commerce de dtail, la restauration ou les oprations multi-sites.
  • Matrise avance de Databricks (un atout), Python, SQL, DevOps et Power BI.
  • Capacit dmontre concevoir et maintenir des pipelines de donnes alimentant des tableaux de bord oprationnels et des rapports financiers.
  • Exprience dans la mise en uvre de cadres de qualit des donnes et d'observabilit.
  • Doit rsider Montral.


AVANTAGES DE L'ENTREPRISE

  • Rmunration conforme au march
  • Caf, boissons et collations gratuits au bureau
  • Stationnement gratuit au bureau
  • Accs gratuit au gymnase (bureau de Montral)
  • Vendredis d't
  • 1 heure de lunch pay
  • Soins de sant virtuels
  • Activits sociales de l'entreprise
  • Rgime d'assurance collective, comprenant les soins de sant, les soins dentaires et l'invalidit de longue dure.


Exigence bilingue (anglais/franais) :

Ce rle exige une matrise fonctionnelle du franais et de langlais en raison de lenvergure nationale des responsabilits et de la diversit des parties prenantes. Le poste soutient plusieurs marques oprant tant au Qubec que dans les rgions anglophones du Canada, ce qui ncessite une communication efficace dans les deux langues officielles.

La personne titulaire du poste sera appele collaborer avec des quipes interfonctionnelles situes dans diffrentes provinces, o le franais et langlais sont utiliss selon le contexte et les interlocuteurs. De solides comptences en communication crite et orale dans les deux langues sont essentielles afin dassurer la clart, la cohrence et lalignement dans les interactions quotidiennes, la gestion des projets et la production des livrables.

Le bilinguisme est donc indispensable pour permettre au titulaire du poste de contribuer efficacement aux initiatives nationales, de collaborer avec divers partenaires et de veiller ce que les communications et les outils dvelopps soient accessibles et adapts lensemble des publics travers le Canada.