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Data Engineer Jobs in Quebec (NOW HIRING)

Caeus

Senior Data Engineer

Montreal, QC

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git ...

Targeted Talent

2 - Senior Data Engineer

Quebec, QC

We are looking for an experienced Senior 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 ...

Targeted Talent

2 - Senior Data Engineer

Quebec, QC

We are looking for an experienced Senior 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 ...

Targeted Talent

2 - Senior Data Engineer

Montreal, QC · On-site

We are looking for an experienced Senior 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 ...

Unitytech

Senior Data Engineer

Montreal, QC · On-site

Translating complex, ambiguous requirements into resilient data engineering architecture designs. Tell us what needs built, not the other way around. Effective use of data is a core focus for the ...

Targeted Talent

2 - Senior Data Engineer

Montreal, QC · On-site

We are looking for an experienced Senior 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 ...

Apertera

Data Engineer (Team Lead)

Montreal, QC · On-site

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 ...

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC · On-site

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver ...

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver ...

Progi

Senior Cloud Data Engineer

Trois-rivieres, QC · On-site

En tant que Senior Cloud Data Engineer chez Progi, vous serez responsable de la transformation et orchestration de la plateforme de données cloud , avec un focus particulier sur les couches Silver ...

Pelmorex

Senior Data Engineer, Hybrid

Montreal, QC · Hybrid

We're looking for a Senior Data Engineer who doesn't just move data, but understands how data quality, latency, and design decisions directly impact products, customers, and business outcomes. The ...

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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 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.
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.

Senior Data Engineer

Caeus

Montreal, QC

Full-time

Retirement

Re-posted 21 days ago

Job description

***YOU MUST RESIDE IN MONTREAL***

Our engineers are the technical visionaries driving our innovative solutions. Renowned globally for designing, integrating, and deliveringstate-of-the-artsimulation and training systems,you'lltackle complex challenges, collaborate across functions, and lead advancements that shape the future of our industry. Supported by a culture that fosters flexibility, growth, and technological excellence, our engineers are empowered to make a meaningful impact every day. 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 are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git, Microsoft Fabric, and medallion architecture acrossBronze, Silver, and Goldlayers. In this role, you will design and improve scalable data solutions, help guide technical decisions, review and write code, support team members, and promote strong engineering practices.

Platform Architecture and Data Engineering

  • Build andmaintaindata solutions in Microsoft Fabric across Bronze, Silver, andGoldlayers using CAE's data platform framework.

  • Support and improve the enterprise data platform, including data warehouses and data lakes.

  • Design, build, andmaintaindata pipelines using SQL and big data tools such as Spark, Kafka,orHadoop.

  • Develop reliable processes to ingest, transform, and deliver data from a variety of sources.

  • Integrate data from internal, external, and IoT sources to support business needs.

  • Build andmaintainbackend data solutions that support analysts, data scientists, and other business users.

Operations, Quality, and Delivery

  • Apply DevOps practices to improve the development and deployment of data solutions.

  • Identifyopportunities to automate manual work and improve data delivery processes.

  • Follow data governance, architecture, and security standards.

  • Monitor data pipelines and provide support when issues arise.

Collaboration and Technical Leadership

  • Work closely with product teams, data experts, architects, and other stakeholders to solve technical issues and support data platform needs.

  • Help guide technical decisions, review code, and share best practices with the team.

  • Collaborate with cross-functional teams on data and AI initiatives.

  • Stay current with industry trends and recommend improvements to the platform and delivery processes.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field. A master's degree is an asset.

  • At least 6 years ofexperience in data engineering with strong hands-on coding in Python, Spark, SQL, and related scripting languages.

  • Experience using Visual Studio Code and Git in modern development workflows.

  • Requiredhands-on experience with Microsoft Fabric, includingLakehouses,OneLake, pipelines, notebooks, and medallion architecture acrossBronze, Silver, and Goldlayers.

  • Strong understanding of computer science fundamentals, includingdata structuresandalgorithms.

  • Experience with Terraform.

  • Experience working with cross-functional teams in a fast-paced environment.

  • Experience with relational and NoSQL databases, including SQL Server, PostgreSQL, and Cosmos DB.

Preferred Qualifications

  • Experience with workflow and orchestration tools such as Azure Data Factory and Airflow.

  • Experience with DevOpsandGithuband infrastructure deployment tools such as ARM.

  • Experience with Microsoft cloud and data platforms such asFabric, Azure,Databricks, and Purview.

  • Knowledge of medallion architecture acrossBronze, Silver, and Goldlayers.

  • Experience with stream-processing technologies such as Spark Streaming.

  • Familiarity with Kubernetes.

  • Proficiencyin Power BI for reporting and data visualization.

Benefits

  • Group insurance

  • Telemedicine

  • Employee and Family Assistance Program

  • Group RRSP

  • CAE Pension Plan / Defined Benefit Plan

  • Sabbatical leave

  • Flex time

  • Enhanced parental leave

About CAE

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we've driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

Position TypeRegularEqual Opportunity & Accommodations

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available-contact your recruiter or email CAECarrieres-Careers@cae.com if needed.

Data Privacy

Privacy Statement | CAE

As part of our process, we may use AIsupported tools to help review applications, with human decisionmaking at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

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