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Sr Data Engineer Jobs in Quebec (NOW HIRING)

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 ...

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.

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

... Consulting Senior Data Architect with deep, production\-grade Microsoft Fabric experience to ... Architect and implement Fabric solutions for data engineering (Spark), Data Factory pipelines , and ...

Overview of the Role The Data & Analytics Crew Lead (Senior Director) occupies a hybrid leadership ... Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the ...

We are looking for a senior Data Analyst that can be not only an employee of a great team but also ... Work with engineers to create data tracking framework * Provide data visualization using specified ...

Sr. Full Stack Data Science Engineer

Montreal, QC ยท On-site

CA$154K - CA$199K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Demonstrated comfort engaging with senior executives and Csuite stakeholders, influencing decisions ...

Showing results 41-60

Sr Data Engineer information

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Quebec? For Sr Data Engineer jobs in Quebec, the most frequently searched job titles are:
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What cities in Quebec are hiring for Sr Data Engineer jobs? Cities in Quebec with the most Sr Data Engineer job openings:
Infographic showing various Sr Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr Data Analyst

Artefact

Montreal, QC โ€ข On-site

Other

Re-posted 18 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and AI?

With overย  2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a consulting firm that transforms data into value and business impact.ย 

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. 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 dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more atย artefact.com.

What you will be doingย 

As an Analyst with a background in marketing and media agency experience, you will play a pivotal role in the intersection of data analysis and business strategies. We are seeking a candidate who not only possesses advanced analytical skills but can also effectively engage with clients, ensuring that internal projects and client accounts are managed, aligned, and successfully executed.

Key tasks include:ย 

  • Conducting projects to accompany the transformation of your clients' businesses through the effective collection, processing, and visualization of data
  • Extract valuable insights from clients' marketing-related data sources to support informed decision-making.
  • Research and develop new technical approaches to address challenges efficiently in the marketing and media domain.
  • Create data visualization dashboards tailored to marketing decision-making while aligning with business requirements.
  • Actively contribute to the expertise and competencies of the Data & Analytics team and work closely with other divisions, including Media & Activation, Creation, Consulting, Data Science, and Data Engineering, to provide comprehensive services to clients.

What we are looking forย 

We're looking for forward-thinkers and "quick studies" who are poised to make a significant impact, are ready to help our clients in their digital and data journeys, and will help to position Artefact at the forefront of innovation and disruption. As someone who will help build our U.S. office from the ground up, we need a data engineer who's naturally curious, independent, team-oriented, and eager to learn. We'll give you the tools and training to be successful, and you'll come armed with the following:

  • Undergraduate degree with strong academic performance
  • 2-5 years of full-time work experience in a data-driven working environment with experience or knowledge in:
    • Dashboarding: Tableau, Looker Studio, Power BI
    • Programming: Jupyter, VS code, Github
    • Programming languages: Python, R, SQL
    • Tool
    • Cloud databases
      • Amazon Redshift, Microsoft Azure, Google BigQuery, Salesforce (or other popular CRM tools)
  • Additionally, have knowledge in one or more of the following technologies:
    • You know how to connect to an API through the knowledge of the different authentication methods (OAuth, HTTP Basic, API key)
    • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...)ย 
    • Web application (R-Shiny, Python Flask) that you have industrializedย 
  • Have a strong business-orientation with great verbal and written communication skills; ability to represent Artefact in a client-facing capacity
  • Ability to engage with diverse team members; strong intercultural communication skills are a must
  • Advanced familiarity with Excel and PowerPoint
  • Experience using Google Suite a plus
  • Strong teaching orientation; demonstrated ability to mentor more junior members of the team

Why you should join usย 

We are united by ourย valuesย and strengthened by our hybridย expertise.

  • There is always a way:ย We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field:ย Addressing client needs flows better hands on at their side.
  • If not used, it is useless:ย Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done:ย Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday:ย Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.