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Data Engineer Jobs in Quebec (NOW HIRING)

Artefact

Sr Data Analyst

Montreal, QC · On-site

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 ...

AlayaCare

Staff Data Developer

Montreal, QC · On-site

Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you'll ...

Global Excel Management

Data Developer II

Sherbrooke, QC

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and ...

Global Excel Management

Data Developer II

Sherbrooke, QC · On-site

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and ...

BEEM

Ingenieur(e) Data & Analytique

Montreal, QC · On-site

Ce role est affiche sous le titre Analytics Engineer, avec le titre interne Data Specialist. Il s'agit d'un poste permanent a temps plein, hybride. Ce role est fait pour toi si tu veux travailler sur ...

Zurich Insurance Group

Data Platform Lead

Montreal, QC · On-site

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 ...

Medfar

Senior Data Transfer Developer

Montreal, QC · On-site +1

As a Senior Data Transfer Developer, you will design, build, and evolve robust data transfer systems and interfaces that ensure accurate, secure, and efficient data exchange across MEDFAR's ecosystem.

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Quebec

Data Engineer information

See Quebec salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jul 8, 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.
More about Data Engineer jobs
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:
Data Engineer jobs near you
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 Developper TG Qualifty Engineering (TGQF)

Ubisoft

Montreal, QC

Full-time

Posted 28 days ago

Job description

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!

Job Description

As a Data Engineer, you will work closely with Product teams and Backend and Frontend developers to design, build, and maintain data pipelines that track and measure game performance.

You will be responsible for making sure that game data is accessible, reliable, secure, and high quality, so internal teams can use it to improve and optimize Ubisoft games at scale.

Responsibilities

  • Design, build, and maintain data pipelines to transport large volumes of data.
  • Develop data transformation processes that deliver meaningful game performance data to production teams.
  • Contribute to data architecture initiatives for both structured and unstructured data.
  • Monitor and ensure data quality, including reliability, consistency, and integrity.
  • Monitor the performance and stability of the data platform.
  • Analyze key performance indicators and propose infrastructure improvements to improve scalability and efficiency.
  • Support the implementation of new and existing data systems, tools, and processes.
  • Collaborate with cross-functional teams and perform related tasks as needed.
Qualifications

Education:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

Relevant Experience:

  • Minimum 5 years of experience working with data, coding, scripting, and system design.
  • Minimum 5 years of experience developing and managing large-scale data systems.
  • Minimum 3 years of experience in data modeling and managing SQL and NoSQL databases.

Required Skills:

  • Ability to design and implement data processes based on data flow concepts and pipeline architectures.
  • Strong expertise in Extract, Transform, Load (ETL/ELT) operations across multiple systems.
  • Ability to configure, operate, and scale data management systems, ensuring performance and reliability.
  • Strong ability to develop complex, well-structured software, applying software engineering principles and best practices.
  • Ability to conduct independent research to identify relevant solutions to complex technical problems.
  • Knowledge and practical experience with Agile development methodologies (Scrum, Kanban, etc.).

Required Knowledge:

  • Experience working in cloud environments, particularly with Databricks.
  • Experience with Delta formats (Delta Lake) for managing transactional and analytical data.
  • Ability to use and combine data processing tools and languages such as Apache Spark, Scala, and PySpark to integrate and orchestrate systems.
  • Experience designing and using conceptual data models (CDM).
  • Experience with Kafka or other data pipeline and streaming tools.
  • Strong understanding of computer science fundamentals, including algorithms and data structures.
  • Experience with data-oriented architectures, including data flow analysis.
  • Experience with real-time data extraction, transport, and loading processes.
  • Experience with .NET (an asset).
  • Experience designing and consuming REST APIs (an asset).