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Data Engineering Jobs in Quebec (NOW HIRING)

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 ...

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 ...

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 ...

Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and ...

Whether your passion lies in data, mechanical, or aerospace engineering, CAE provides the environment to refine your skills and createa lasting legacyin safety and simulation Key Responsibilities: We ...

If you have experience with data engineering, data science, ML engineering, and data platforms, working in a Python, SQL, and Databricks-first environment, we would love to hear from you! Zurich ...

Familiarity with data engineering concepts is beneficial, and the manager should be willing to engage in limited hands-on data or backend work when necessary. Responsibilities * Lead, coach, and ...

Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Promouvoir une culture de data engineering orientée performance et valeur métier Profil recherché Expérience * Minimum 5 ans d'expérience en data engineering * Minimum 2 ans sur Google Cloud ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

... data engineering orientée performance et valeur métier Profil recherché Expérience Minimum 5 ans d'expérience en data engineering Minimum 2 ans sur Google Cloud Platform (GCP) Compétences ...

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

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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 Jun 29, 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, process, and store 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.

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, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, 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.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

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 June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Full-time

Retirement, PTO

Posted 24 days ago


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.