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Data Engineer Jobs in Quebec (NOW HIRING)

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Data Engineer Build the future with us ! As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You ...

Data Engineer

Montreal, QC ยท Remote

$60 - $90/hr

Our client is seeking a Data Engineer to support the development of a new pilot initiative focused on integrating live operational data across multiple platforms and systems. This role will play a ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

Mission We are seeking a Python-focused Data Engineer to bridge the gap between data infrastructure and data science. In this role, you will lead the standardization and optimization of our data ...

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 ...

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 ...

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 ...

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 ...

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 ...

The Role As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

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Data Engineer information

See Quebec salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineer in Quebec is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations 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 ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Quebec? The most popular types of Data Engineer jobs in Quebec are:
What are popular job titles related to Data Engineer jobs in Quebec? For Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Quebec look for? The top searched job categories for Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Data Engineer jobs? Cities in Quebec with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in QC? For Data Engineer jobs in QC, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Quebec as of July 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $122,622 per year, or $59 per hour.

Data Engineer

HollisWealth

Quebec, QC โ€ข Hybrid

Full-time

Retirement, PTO

Re-posted yesterday


Job description

Job DescriptionData Engineer

Build the future with us !


As a Data Engineer, you will play a key role in the design, industrialization, and optimization of data pipelines and artificial intelligence solutions. You will work closely with multidisciplinary teams to deliver high-value, impactful solutions to the organization.


What you'll accomplish with us

As a Data Engineer, you will be at the heart of our mission. Your main responsibilities will include:


  • Designing, developing, and maintaining high-performance, secure, and scalable data pipelines (ETL/ELT).
  • Contributing to the implementation and evolution of data management solutions (data warehouses, data marts, data lakes).
  • Preparing, transforming, and structuring data required for training supervised machine learning models.
  • Developing, testing, deploying, and industrializing machine learning and AI models in cloud environments (Azure, Snowflake, Databricks).
  • Implementing and maintaining DevOps and MLOps practices, including continuous integration, pipeline monitoring, and model reproducibility.
  • Collaborating with Product Owners, Product Managers, data scientists, architects, and business stakeholders to translate business needs into concrete technical solutions.
  • Documenting delivered solutions and contributing to their sustainability and continuous improvement.

What could accelerate your success in this role


We're looking for someone who:


  • Has a minimum of 7 years of relevant experience in data engineering, ETL development, or related fields.
  • Holds a university degree in computer science or a related discipline.
  • Demonstrates strong expertise in designing and orchestrating ETL/ELT pipelines using tools such as Azure Data Factory, with excellent SQL skills, knowledge of SSIS, and a solid understanding of data modeling (Data Vault, star schema, etc.).
  • Has strong experience with cloud databases, particularly Snowflake, and managing Azure platforms.
  • Acts as a technical leader with solid experience in Databricks (model management modules, Mosaic AI, Unity Catalog).
  • Is familiar with DevOps and MLOps practices, including CI/CD pipelines, solution and model monitoring, and thrives in agile, multidisciplinary environments (Scrum/Lean).
  • Possesses excellent communication skills (both written and verbal), strong initiative, rigor, and a constant focus on quality. Experience in the insurance or financial services industry is considered an asset.
  • Is fluent in French and has an intermediate level of English, as the role involves occasional communication with internal and external stakeholders across Canada.

Why you'll love working with us


  • A work environment where learning and development merge with a collective pursuit of excellence;
  • A healthy, safe, fair, and inclusive environment where potential can be freely expressed and developed;
  • The opportunity to work in a hybrid environment, supported by flexibility and access to inspiring and innovative workspaces;
  • Competitive benefits: Flexible group insurance, competitive pension plan, stock purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic furniture program, performance bonus, discounts on iA products, and much more!

Apply now and get ahead of your career, where your talent really belongs!

Still unsure about applying?
At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply - your place might be with us, and we want to get to know you!


Location(s)Quebec / 1080, Grande Allee WestOther Possible Location(s)Montreal / 1981 McGill College Avenue
Company

iA Financial Group

Posting End Date2026-06-19Company Overview

iA Financial Group* is the strength of a company with a human side, with its over 8,000 employees. Together, we have earned the trust of our more than four million clients and 25,000 advisors who have chosen us for their insurance, savings, and wealth management.

With over $200 billion in assets and half a billion invested in technological innovation, we're a key player in the financial services industry in Canada and the United States. The secret to our success? Investing in you, one person at a time. Because, for over 125 years, we have believed that it's by supporting our employees and surrounding ourselves with the most reputable leaders in the industry, we will continue to innovate.

At iA, we're invested in you.

* iA Financial group includes the following entities: iA Services financiers, iA assurance auto et habitation, iA Gestion privee de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rheaume et associes, Garanties Nationales, WGI Manufacturing, WGI Service Plan Division, Lubrico, iA Financement auto Our Commitment to Diversity and Inclusion

At iA Financial Group, we support and celebrate diversity. We strive to provide a workplace that is recognized as inclusive for all, regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability.

Please note that if you need help or assistance to make the recruitment process more accessible for you, please Contact us here. Someone from our team will be happy to assist you with your needs.