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Data Jobs in Quebec (NOW HIRING)

Nous recherchons une personne pour rejoindre une equipe dynamique en tant qu' Ingenieur(e) Data pour l'un de nos clients. Ce poste est destine a un role d'ingenierie des donnees au sein de l'equipe ...

Job Summary The Product Data Manager is responsible for ensuring that product data, from design to end of life, is consistent, reliable, secure, and accessible. The role focuses on defining and ...

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will ...

Mission Are you passionate about data and continuous improvement? We need you! Our catalog includes over 100,000 SKUs, and the quality of the information associated with them is a key driver of our ...

Role Overview As a Data Analyst in our Business Intelligence & Analytics team, you will bridge the gap between complex telecom data and strategic execution. Embedded in an agile environment, you will ...

Mission Are you passionate about data and continuous improvement? We need you! Our catalog includes over 100,000 SKUs, and the quality of the information associated with them is a key driver of our ...

Mission Are you passionate about data and continuous improvement? We need you! Our catalog includes over 100,000 SKUs, and the quality of the information associated with them is a key driver of our ...

Analyst, Data valorization

Montreal, QC · On-site +1

  • Medical

  • Retirement

  • PTO

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

Analyst, Data valorization

Levis, QC · On-site +1

  • Medical

  • Retirement

  • PTO

As a data analyst, you collect, process, analyze and use data that comes through different channels. You extract, describe, analyze and interpret the data needed to make informed business decisions.

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the ...

PLM Data Analyst

Montreal, QC

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The PLM Data Analyst works closely with business and technical stakeholders to manage product master data, monitor data quality, and help drive continuous improvements in PLM processes and data ...

New

Data Consultant Status: Temporary (Duree determinee) Il s'agit d'un poste temporaire jusqu'au 31-03-2028 Reconnu(e) pour votre expertise en gestion des donnees, vos habiletes en vulgarisation ainsi ...

English or Bilingual (CV in English) À propos du poste We are looking for a Data Business Analyst with a strong functional background and solid technical understanding to support reporting and ...

Posted today

Nous recherchons une personne pour rejoindre une equipe dynamique en tant qu' Ingenieur(e) Data pour l'un de nos clients. Ce poste est destine a un role d'ingenierie des donnees au sein de l'equipe ...

Data Governance Analyst

Quebec, QC · On-site +1

CA$126/hr

The Data Governance Analyst plays a key role in defining, implementing, and sustaining the organization's data governance framework. The position contributes to effective data management and value ...

Showing results 21-40

Data information

See Quebec salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data in Quebec is $33.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $47.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most commonly searched types of Data jobs in Quebec?

The most popular types of Data jobs in Quebec are:

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

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

Infographic showing various Data job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Ingenieur data / Data Engineer

mthree

Montreal, QC • On-site

Full-time

Re-posted 7 days ago


Job description

**English version below**

Doit etre local a Montreal

Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement?

Nous recherchons une personne pour rejoindre une equipe dynamique en tant qu'Ingenieur(e) Data pour l'un de nos clients. Ce poste est destine a un role d'ingenierie des donnees au sein de l'equipe MongoDB et Kafka. Nous sommes un groupe hautement technique qui realise simultanement divers projets pour plusieurs secteurs d'activite. Les responsables metier et les experts sont repartis a l'echelle mondiale, ce qui rend de solides competences en communication essentielles pour ce poste. Le ou la candidat(e) travaillera en etroite collaboration avec nos partenaires informatiques afin d'analyser les besoins metier et de mettre en uvre les solutions repondant a ces exigences.

A propos de mtrois :

Depuis 2010, mtrois aide ses clients a resoudre leurs defis commerciaux et technologiques. Nous sommes une societe de conseil en technologie et en affaires avec une main-d'uvre mondiale qui realise des projets commerciaux et informatiques significatifs dans certaines des plus grandes organisations de services financiers du monde.

Services principaux

  • Consulting et Conseil
  • Services geres
  • Programme de diplomes Alumni
  • Programme Alumni Pro

Nous avons une presence mondiale et sommes experts dans la fourniture d'une qualite exceptionnelle a notre base de clients, offrant des services de conseil dans les domaines du risque, de la reglementation et de la conformite ; Produits des fournisseurs ; Support d'application ; Developpement d'application ; Cyber et securite de l'information ; Science des donnees et DevOps.

Notre programme Expert offre aux professionnels experimentes l'acces a des roles de premier plan dans la technologie, la finance, l'aviation et l'assurance. Rejoignez-nous pour travailler sur des projets technologiques revolutionnaires, des plateformes de trading internationales aux applications critiques pour les principales compagnies aeriennes. Nous recrutons des professionnels desireux de faire progresser rapidement leur carriere dans la technologie ou les operations au sein d'organisations mondiales prestigieuses.

Profil du poste

  • Developpement selon les methodologies Agile.
  • Les candidats doivent etre capables de travailler de maniere collaborative, faire preuve d'autonomie et d'un fort sens des responsabilites, tout en s'integrant efficacement au sein d'une equipe.
  • Les responsabilites incluront la conception, l'amelioration et le developpement de bases de donnees MongoDB et de clusters Kafka, ainsi que, ponctuellement, le travail dans differents environnements de bases de donnees.
  • Le poste couvre l'ensemble du cycle de vie des projets, notamment :
    • les evaluations de preuve de concept (PoC),
    • le developpement et le codage,
    • la conception,
    • les tests,
    • la mise en uvre,
    • le deploiement,
    • le support continu des mises en production,
    • ainsi que le support de niveau 2 dans le cadre des astreintes.

Principales responsabilites

  • Assurer l'ingenierie de l'infrastructure afin de garantir la stabilite, l'evolutivite et la planification de la capacite pour certaines des plus importantes configurations du secteur financier.
  • Realiser les fonctions d'administration de bases de donnees (DBA) :
    • planification et execution des modifications de schema,
    • analyse des goulets d'etranglement,
    • prevention et resolution des incidents,
    • amelioration des performances des serveurs et des bases de donnees,
    • maintenance et recuperation des bases de donnees.
  • Developper des outils pour SingleStore, Kafka et MongoDB.
  • Veiller au respect de la securite des bases de donnees, ainsi qu'a l'application des normes et bonnes pratiques etablies.

Competences requises

  • Environ 3 a 5 ans d'experience en ingenierie des donnees ou en ingenierie des bases de donnees.
  • Experience en Python.
  • Experience avec SingleStore.
  • Connaissances de base de MongoDB et/ou Kafka.
  • La connaissance d'autres bases de donnees constitue un atout.
  • Une connaissance des methodologies Agile et des pratiques DevOps est un plus.
  • Une experience avec des outils de gestion de versions tels que Git est un atout.
  • Sens de l'integrite et des responsabilites, avec un fort esprit d'equipe.
  • Capacite a travailler sous contraintes de temps et de ressources.
  • Aptitude a identifier des solutions simples, efficaces et pragmatiques.
  • Forte motivation a developper continuellement ses connaissances techniques et metier.

Chez mtrois, nos valeurs soutiennent des coequipiers courageux, des moteurs d'aiguilles et des champions de l'apprentissage tout en s'efforcant de soutenir la sante et le bien-etre de tous les employes. Nous sommes tres fiers de celebrer la diversite de chaque individu qui contribue a faire de mtrois l'entreprise qu'elle est aujourd'hui et sera a l'avenir. Nous valorisons la diversite tant au sein de mtrois qu'avec nos entreprises partenaires, et nous sommes fiers de fournir un environnement ou tous nos collegues peuvent s'epanouir. Cela signifie promouvoir une forte culture d'egalite mais, surtout, d'inclusion.

Les candidats doivent etre actuellement autorises a travailler au Canada a temps plein. L'entreprise ne parrainera pas les candidats pour des visas de travail

**English Translation**

**Must be local to Montreal**

Want to work in technology at an investment bank?

We are looking for someone to be a part of a dynamic team as a Data Engineer for one of our clients. This position is for a data engineering role in the MongoDB and Kafka squad. We are a highly technical group delivering on various projects for multiple business areas in parallel. The business owners and subject matter experts are globally distributed, making strong communication skills important to the position. The candidate will be expected to work closely with our IT partners in analyzing and delivering on business requirements.

About mthree:

Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide.

Core Services:

  • Consulting and Advisory
  • Managed Services
  • Alumni Graduate Program
  • Alumni Pro Program

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious global organizations.

Role Profile:

  • Development under agile methodologies.
  • Candidates must therefore be able to work collaboratively, demonstrate good ownership and be able to work well in teams. Work will include designing, enhancing, and developing MongoDB databases and Kafka Clusters, and may occasionally require working across different database environments.
  • The job will involve considering all aspects of the project life cycle and includes proof-of-concept evaluations, coding, designing, testing, implementing, deploying, and continued support of project releases as well as on-call Level 2 support.

Major Role & Responsibilities:

  • Infrastructure Engineering for stability, scalability, and capacity planning for some of the largest configurations on the financial industry
  • DBA functions: plan & execute database schema changes, bottleneck analysis, outage prevention/resolution, server/database performance improvements, database maintenance, database recovery. Development of tools for Singlestore, KAFKA and MongoDB
  • Enforce database security, standards & guidelines.

Skills Required:

  • Approximately 3-5 years of experience in data or database engineering
  • Experience with Python
  • Experience with Singlestore
  • Basic knowledge of MongoDb and/or KAFKA
  • Basic knowledge of other databases is a plus
  • Basic knowledge of agile and Devops is a plus
  • Versioning tools such as git is a plus
  • Integrity & ownership, good team player
  • Ability to work under time and resource dependencies and constraints.
  • Ability to find simple and effective solutions.
  • High degree of motivation to expand technical and business knowledge.

At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion.

Applicants must be currently authorized to work in Canada on a full-time basis. The Company will not sponsor applicants for work visas.