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Weekend Data Engineer Jobs in Quebec (NOW HIRING)

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 ...

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 ...

University degree in Computer Science, Engineering, or a related field. Relevant Experience * Minimum of 5 years of industry experience in development, coding, scripting, and data-oriented design.

Minimum de 5 ans d'expérience comme Ingénieur de données * Expérience dans des organisations de ... Expérience dans des entreprises internationales * Connaissance de Data Vault, Event-Driven ...

We're seeking a talented Data Platform Developer to join our Platform Engineering team and architect the data foundation that will power Newforma's next generation of AI-driven capabilities and ...

New

We're seeking a talented Data Platform Developer to join our Platform Engineering team and architect the data foundation that will power Newforma's next generation of AI-driven capabilities and ...

New

We're seeking a talented Data Platform Developer to join our Platform Engineering team and architect the data foundation that will power Newforma's next generation of AI-driven capabilities and ...

New

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)

Showing results 41-60

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 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 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 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 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:
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.

Chief Developer in Data Engineering

National Bank

Longueuil, QC • Hybrid

Full-time

Medical, Retirement

Posted yesterday

New


Job description

A career as a Chief Developer in Data Engineering  within the Data Strategy team in the Business Performance, Evolution and Processes sector at National Bank means acting as an analytical data specialist. Leveraging your expertise in data architecture and modeling, your experience building data pipelines, and your knowledge of cloud environments, you contribute directly to data enablement and the transformation of Operations.


Your role


  • Define and evolve the data architecture and data models that support the sector’s analytical needs.
  • Design, develop, and maintain robust data pipelines (ETL and ELT) within the Bank’s cloud environments.
  • Develop integrations and automations that efficiently connect business applications and data platforms.
  • Optimize data processing using SQL and Python to improve solution performance, reliability, and efficiency.
  • Implement data quality, governance, and control mechanisms to ensure data integrity.
  • Influence the sector’s data strategy and contribute to the evolution of the data infrastructure through engineering and automation best practices.


Your team


The Business Performance, Evolution and Processes Vice-Presidency is made up of specialists who work in an agile, proactive, and collaborative manner to seize opportunities, stay at the forefront of technology, and continuously improve processes.

Within the Business Performance, Evolution and Processes sector, you will be part of the Data Strategy team, responsible for driving Operations’ enterprise-wide transformation, and you will report to the Director of Analytics. You will work closely with passionate data experts to accelerate the delivery of our strategic initiatives.

Our team stands out through its data engineering expertise, collaborative mindset, and commitment to high-quality delivery. We aim to provide maximum flexibility to support your quality of life through a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, enable you to master your profession and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, as well as coaching and mentoring opportunities are always available to you.


Requirements


  • Bachelor’s degree in a related field and five years of relevant experience, or a master’s degree in a related discipline and three years of relevant experience.
  • Strong experience in data engineering, including ETL and ELT pipeline development, large-scale data management, data modeling (Data Vault and dimensional modeling), and data architecture.
  • Proficiency in SQL and Python for data transformation, integration, and analytics.
  • Experience with cloud environments and modern data platforms, including AWS, Snowflake, Terraform, as well as Git, GitHub Actions, Bitbucket, and Jira.(Asset) 
  • Knowledge of software development best practices, automated testing, and continuous integration and continuous delivery (CI/CD) methodologies.(Asset) 
  • Strong analytical thinking, autonomy, proactivity, collaboration and influencing skills, as well as the ability to solve complex problems in a fast-paced and evolving agile environment.

Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!