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Data Engineering Internship Jobs in Quebec (NOW HIRING)

Desjardins Group

Data internship, Fall 2026

Levis, QC · Hybrid

We offer a range of data internships that will allow you to sharpen your skills in: 💡Information ... Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

Desjardins Group

Data internship, Fall 2026

Montreal, QC · Hybrid

We offer a range of data internships that will allow you to sharpen your skills in: 💡Information ... Develop and maintain application programming interfaces (APIs) and software development kits (SDKs ...

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

... or internship-are subject to a criminal background check. Positions that involve access to ... data are also subject to a credit check. All verifications are conducted in accordance with GIRO ...

Caeus

C-IT-105 Data Specialist intern

Montreal, QC · On-site +1

CA$250/wk

Internship dates: From August 31 st to December 18th 2026 Are you looking for a work environment ... Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory ...

BFL Canada

Business Intelligence Engineer

Montreal, QC · Hybrid

... Data Engineering. * Translate complex business requirements into scalable reporting solutions ... internships and university projects with real datasets count) * Strong SQL is non-negotiable ...

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All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Quebec

Data Engineering Internship information

See Quebec salary details

$10

$44

$97

How much do data engineering internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data engineering internship in Quebec is $44.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $71.15 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
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 Internship jobs in Quebec? For Data Engineering Internship jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineering Internship jobs in Quebec look for? The top searched job categories for Data Engineering Internship jobs in Quebec are:
What cities in Quebec are hiring for Data Engineering Internship jobs? Cities in Quebec with the most Data Engineering Internship job openings:
Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $91,574 per year, or $44 per hour.

Data internship, Fall 2026

Desjardins Group

Levis, QC • Hybrid

Full-time

Re-posted yesterday

Job description

💚 Desjardins Group has adopted a data strategy designed to maximize the value of our data and enhance the member and client experience. Our ambition is to sustain our growth and strengthen our reputation as a recognized leader in data valorization, security, compliance, ethics and governance. We offer a range of data internships that will allow you to sharpen your skills in:

💡Information analytics (business intelligence)

  • Help deepen our understanding of members and clients through data valorization and analysis to support strategic decision making

  • Create visual reports and issue recommendations to meet the needs of internal partners

📊Advanced analytics

  • Take part in exploring, evaluating and developing innovative AI methodologies and products to support data valorization

  • Help innovate and explore in one of our areas of expertise, like structured and unstructured synthetic data, generative and multimodal language models, etc.

  • Help monitor new advances in AI and support their adoption by Desjardins Group

🤖Machine learning operations (MLOPS)

  • Work alongside data scientists and IT experts on a multidisciplinary squad to design, develop, deploy and monitor machine learning and AI systems

  • Help implement continuous integration and deployment (CI/CD) pipelines for machine learning models

  • Develop and maintain application programming interfaces (APIs) and software development kits (SDKs) that expose analytical models to applications in production

🛡Data governance

  • Document metadata in the information governance catalogue

  • Prepare content for metadata loading templates and update the catalogue and reference databases

  • Help data governance advisors classify metadata according to the current data architecture framework in a secure and private environment

What you bring to the table

  • Your educational institution must credit or certify your internship toward a bachelor's degree or a master's degree in an appropriate discipline

  • Knowledge of French required

  • Proficiency in software development, including object-oriented programming for machine learning operations

  • Knowledge of tools such as Tableau and Power BI for information analytics

  • Knowledge of SAS and SQL for information analytics

  • Knowledge of machine learning algorithms, deep learning and development frameworks (keras, tensorflow, pytorch, etc.) for advanced analytics

  • Knowledge of generative AI models and solutions (synthetic data, LLMs, prompt engineering, etc.) for advanced analytics

  • Knowledge of MS Office suite (especially Excel) for data governance

At Desjardins, we don't just support youth. We value their talent. There's a difference

#LI-Hybrid

Action oriented, Customer Focus, Differences, Nimble learning

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

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