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Big 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 ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

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 ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

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 ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

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 ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse ... Strong experience with big data services like Spark, Kafka, Rabbit * Experience working with ...

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 ...

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Big Data Engineer information

See Quebec salary details

$31

$62

$86

How much do big data engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for big data engineer in Quebec is $62.68, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.39 per hour, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing 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 remains critical for integrating AI tools effectively and ensuring data quality and security.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What is the job of a big data engineer?

A big data engineer designs, builds, and maintains large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

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

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

Will AI replace ETL?

Big Data Engineers design and manage ETL (Extract, Transform, Load) processes to prepare data for analysis. While AI and automation tools can optimize and assist with ETL tasks, they are unlikely to fully replace the role, as human oversight is essential for complex data integration and quality assurance. Skills in scripting, data modeling, and understanding data workflows remain critical in this field.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in distributed systems, cloud platforms, and data architecture can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data projects.
More about Big Data Engineer jobs
What are popular job titles related to Big Data Engineer jobs in Quebec? For Big Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Big Data Engineer jobs in Quebec look for? The top searched job categories for Big Data Engineer jobs in Quebec are:
What are popular job titles related to Big Data Engineer jobs in QC? For Big Data Engineer jobs in QC, the most frequently searched job titles are:
Infographic showing various Big Data Engineer job openings in Quebec as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $130,384 per year, or $62.7 per hour.

Full-time

Retirement, PTO

Posted 22 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.