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Weekend Data Engineer Jobs in Quebec (NOW HIRING)

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

HOW YOU'LL MAKE A POSITIVE IMPACT As part of the Data Science Development team, you will contribute ... You enjoy and are highly proficient in Python programming (knowledge of C++ is considered an asset)

Autodesk

Principal Data Analyst

Montreal, QC · On-site

Partner with Data Engineering on data quality, lineage, observability, and scalable pipelines; use version control, testing, code review, and reproducible development practices for high-value ...

Jestais

Our data environment spans ERP and cloud platforms, and our engineering culture is hands-on, pragmatic, and fast-moving. You'll work in a production environment integrating Oracle, Snowflake, AWS ...

Maarut

Optimum is seeking a Guidewire InsuranceSuite developer to correct the Data Consistency Checks (DBCC) of the on\-premises PolicyCenter, in the context of an upgrade from version 10.2.2 to 10.2.5. \n

Artefact

AI & Agentic Engineer, Senior

Montreal, QC

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at ...

PSP Investments

Senior Applied AI Engineer

Montreal, QC · On-site +1

Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving * Develop across the ...

Unitytech

Senior Software Engineer

Montreal, QC · On-site

Effective use of data is a core focus for the broader company, and this team sits precisely in that ... Strong software engineering fundamentals, and experience applying them within data engineering

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Quebec

Weekend Data Engineer information

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

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 Weekend Data Engineer jobs in Quebec?

For Weekend Data Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Quebec look for?

The top searched job categories for Weekend Data Engineer jobs in Quebec are:

What cities in Quebec are hiring for Weekend Data Engineer jobs?

Cities in Quebec with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer 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.

Data Developer II (15months Contract)

Global Excel Management

Sherbrooke, QC • On-site

CA$35.06 - CA$46/hr

Full-time

Posted 21 days ago

Job description

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 cloud platforms. The ideal candidate will have a proven track record in building scalable data solutions to enable advanced analytics and data management capabilities. This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. 

What does your typical day look like?

  • Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services.
  • Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline orchestration.
  • Collaborate with business and data teams to translate data requirements into efficient data models, ensuring compliance with data governance and architecture standards.
  • Utilize cloud-native data services, including Azure Storage, to optimize data management and scalability.
  • Implement and automate data quality checks using tools like DBT tests.
  • Implement and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
  • Develop and maintain data dictionaries, data lineage, and metadata management processes.
  • Collaborate with stakeholders to define data standards, naming conventions, and data classification.

What skills and training do you need?

  • Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines.
  • 4-6 years of professional experience in a related field.
  • Experience using the following software/tools:
  • Relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB).
  • Cloud platforms (Azure preferred) and cloud-based data services.
  • Data modeling and transformation tools like DBT.
  • ETL tools such as Azure Data Factory, Airflow, or Informatica.
  • Knowledge of APIs and data integration strategies.
  • Relevant certifications in Azure Data Services or Snowflake are a plus.
  • Advanced proficiency in modern data technologies such as Snowflake, DBT, and Azure Data Factory.
  • Strong experience with SQL and data pipeline automation.
  • Deep understanding of data governance frameworks, data quality management, and security protocols.
  • Ability to collaborate across teams, communicate complex technical solutions, and drive consensus on best practices.
  • Proven track record of designing and implementing cloud-based data architectures with a focus on scalability, security, and cost-efficiency.

When you apply:

If you require assistance or accommodation during our recruitment process, please notify Human Resources so that we can review and consider how we may be able to assist you based on your individual needs.


Global Excel offers more than a position;

  • We offer a competitive compensation package that includes a base salary, performance bonus and an extensive benefits package;
  • A professional future with opportunities for development, growth, and advancement; 
  • RRSP Match program;
  • Financial assistance to employees who wish to continue their education;
  • Work/life balance, health and wellness initiatives including an excellent EAP program;
  • Employee engagement programs that focus on fitness, food, and fun;
  • Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour). Relevant candidate experience considered;
  • Other locations, salary to be discussed based on geographic differential.

To get a taste of the Global Excel life and for more information on our company, visit our Facebook page and website: 

Apply