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Senior Data Engineer Jobs in Quebec (NOW HIRING)

Amaris Consulting

Senior Data Engineer

Montreal, QC

As a Senior Data Engineer, you will be responsible for the design, modelling, development, and management of data warehouse objects in the Snowflake data store, utilizing effective data pipelines ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Quebec, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Montreal, QC · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Keel Infrastructure

Senior Data Engineer

Brossard, QC · Hybrid

What You Can Expect from This Role The Senior Data Engineer will play a critical role in designing, building, and operating Keels' next-generation data platform. This role is responsible for ...

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 ...

Targeted Talent

2 - Senior Data Engineer

Quebec, 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 ...

Targeted Talent

2 - Senior Data Engineer

Quebec, 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 ...

Pelmorex

Senior Data Engineer - Hybrid

Montreal, QC · On-site

We're looking for a 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 ...

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

Targeted Talent

Senior Data Scientist

Montreal, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

Targeted Talent

Senior Data Scientist

Quebec, QC · Remote

We are looking for an experienced Senior Data Scientist for our client. This is a permanent ... in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)

Giesecke+Devrient

Senior Data Scientist

Montreal, QC · On-site

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI ... Perform exploratory data analysis, feature engineering, and model performance evaluation * Develop ...

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Senior Data Engineer information

See Quebec salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data engineer in Quebec is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

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 Senior Data Engineer jobs in Quebec? For Senior Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Quebec look for? The top searched job categories for Senior Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Senior Data Engineer jobs? Cities in Quebec with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in QC? For Senior Data Engineer jobs in QC, the most frequently searched job titles are:
Senior Data Engineer jobs near you

Senior Data Engineer

Amaris Consulting

Montreal, QC

Other

Posted 13 days ago

Job description

The Corporate Workspace Technology area is currently hiring a Senior Data Engineer for the modernization of its tooling enablement function. As a Senior Data Engineer, you will be responsible for the design, modelling, development, and management of data warehouse objects in the Snowflake data store, utilizing effective data pipelines such as Talend, Informatica, and APIs. The ideal candidate is self-driven, dedicated, works well in a team, and thinks and acts strategically.

KEY RESPONSIBILITIES

  • Design, implement, and manage scalable data solutions using Snowflake for optimized data storage and processing.
  • Migrate existing data domains/flows from relational data stores to Snowflake (cloud).
  • Identify and optimize new and existing data workflows.
  • Identify and implement data integrity practices.
  • Integrate data governance and data science tools with the Snowflake ecosystem.
  • Support the development of data models and ETL processes to ensure high-quality data ingestion in the cloud data store.
  • Collaborate with team members to design and implement effective data workflows and transformations.
  • Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
  • Contribute to proof-of-concept work, documentation, and best practices for data management and governance within the Snowflake ecosystem.
  • Participate in code reviews and provide constructive feedback to improve team deliverable quality.
  • Design and develop data ingestion pipelines using Talend/Informatica following industry best practices.
  • Write efficient SQL and Python scripts for large-dataset analysis and end-to-end automation on a set schedule.
  • Design and implement a data distribution layer using the Snowflake REST API.
  • Development of Semantic Models in Snowflake and Power BI is a plus.

SKILLS / QUALIFICATIONS

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Management Information Systems, or a related field (Master's degree preferred).
  • 7–10 years of experience in data analysis, data object development, and modelling in Snowflake.
  • Snowflake REST API experience.
  • Informatica ETL and Talend ETL experience.
  • Efficient SQL query development and Python scripting experience.
  • Proven ability to work in distributed systems.
  • Proficiency with relational databases (such as DB2), querying, and data transformations.
  • Strong data modelling concepts and schema design — relational and cloud data stores.
  • Excellent problem-solving skills and a team-oriented mindset.
  • Strong verbal and written communication skills; ability to collaborate effectively across IT, business, and regional teams.
  • Familiarity with data visualization tools such as Tableau and Power BI is a plus.
  • Experience collaborating with data scientists to integrate machine learning models into Snowflake is a plus.

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