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Data Jobs in Quebec (NOW HIRING)

We are refactoring, redesigning data models and pipelines, and modernizing our ecosystem to unlock scalability, performance, cost efficiency, and advanced analytics. We're looking for a leader who ...

Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite * Documenting and testing developments. * Providing ...

Insight Global is seeking a Data Engineer to join a top aerospace company in Longueuil, QC. This role is hybrid - 3-5x week onsite. This role involves contributing across the full software ...

Data Analyst Build the future with us As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will ...

Data Analyst Build the future with us As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will ...

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 ...

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

Position Summary The HSE Data Analyst supports the Health, Safety and Environment department by collecting, analyzing, and interpreting HSE data to drive informed decision-making, improve performance ...

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

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

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

One of our clients, a leader in the aerospace sector, is looking for a Data Analytics Specialist to join our Digital Solutions team. In this full-time role, you will contribute to various data ...

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Showing results 1-20

Data information

See Quebec salary details

$9

$33

$78

How much do data jobs pay per hour?

As of Jun 12, 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 jobs are in data?

Jobs in data include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and often involve analyzing large datasets to support business decisions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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.

What jobs pay 200,000 a year in the USA?

In the data field, roles such as data scientists, data engineers, and analytics managers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and machine learning, and working in high-demand industries. Executive positions like Chief Data Officer or senior data leadership roles also typically reach or exceed this salary level. These roles often require advanced degrees, certifications, and a strong track record of project success.

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 managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

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 jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include roles such as senior corporate executives, investment bankers, specialized surgeons, and successful entrepreneurs. These positions often require advanced degrees, extensive experience, and specialized skills, and may involve long hours and high levels of responsibility.
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:
What job categories do people searching Data jobs in Quebec look for? The top searched job categories for Data jobs in Quebec are:
Infographic showing various Data job openings in Quebec as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,346 per year, or $33.3 per hour.

Manager, Data Engineering

Intact Financial

Montreal, QC โ€ข Hybrid

Full-time

Life, Retirement

Posted 20 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

128,300 - 156,800

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

15%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We are looking for a manager to lead complex, multi-disciplinary Data Engineering teams to deliver high-impact platform and product outcomes. This role combines strong delivery leadership with deep technical acumen across modern data platforms, analytics engineering, and applied AI/automation.

You will initially lead our in-flight Oracle data warehouse to Snowflake migration. This is not a lift-and-shift. We are refactoring, redesigning data models and pipelines, and modernizing our ecosystem to unlock scalability, performance, cost efficiency, and advanced analytics. We're looking for a leader who blends strong delivery leadership with deep technical acumen and an enthusiasm for AI enabled accelerators.

What you'll do here

  • Build, develop, and retain high-performing Data Engineering / Software Engineering teams, ensuring the right mix of skills and behaviors.

  • Recruit key talent and evolve team composition as program phases and priorities shift.

  • Own end-to-end planning and delivery for complex initiatives: discovery, design/refactoring, build, test, release/cutover, and decommissioning as needed.

  • Establish scope, milestones, budgets, timelines, dependencies, and risk/issue management; maintain dashboards and KPIs.

  • Divide work into achievable tracks with clear roles and responsibilities, balance business needs with individual strengths and aspirations.

  • Provide technical leadership to the team, understanding the solutions and propose improvements and adjustments for efficiencies using modern technology.

  • Promote responsible AI usage to accelerate code understanding, refactoring, documentation, testing, and analytics-defining standards and guardrails for privacy, security, and validation.

  • Build strong relationships with product, architecture, security, finance, and business partners.

  • Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences, document and report progress.

  • Ensure governance adherence; proactively escalate risks and drive timely decisions.

  • Ensure adoption of best practices across data modeling, coding, version control, testing, observability.

  • Embed security and data governance (access controls, classification, privacy/compliance) into platforms and pipelines.

  • Promote communities of practice, knowledge sharing, and built-in quality; continually optimize processes and tools.

What you bring to the table

  • Bachelor's degree in information technology/software engineering or equivalent education and experience.

  • 10+ years across data engineering/analytics/AI/software engineering, with 5+ years leading large teams and complex initiatives.

  • Proven experience leading enterprise data platform programs and migrations between major DWH technologies (e.g., Oracle, Teradata, SQL Server) and modern cloud platforms (AWS, Snowflake, Databricks).

  • Up to date with technology advancements and market trends in data platforms, analytics engineering, AI/ML tooling, and cloud services.

  • Understanding of:

    • Data modeling (dimensional, data vault), orchestration (e.g., Airflow, Control M), CI/CD for data, data quality, and observability.

    • Modern data stack

    • AI/LLM tools to accelerate development and analysis, with clear validation and governance practices.

  • Strong stakeholder management, influence, and communication skills; able to navigate ambiguity and drive cross-functional decisions.

  • Track record hiring, coaching, and leading large teams with high engagement, accountability, and inclusion.

  • For candidates located in Quebec, bilingualism is required (French and English): Need to interact on a regular basis with colleagues across the country.

  • No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Ce poste jouera un role essentiel au sein de notre equipe. | This position will fill an essential role in our team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME