Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak ...
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak ...
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak ...
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us? Here's a sneak ...
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 ...
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 ...
A career as a data engineering developer on the data team at National Bank means serving as a data solutions design and development specialist. This position allows you to have a positive impact on ...
A career as a data engineering developer on the data team at National Bank means serving as a data solutions design and development specialist. This position allows you to have a positive impact on ...
Data Engineering & GCP Platform * Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP). * Leverage GCP services such as:
Data Engineering & GCP Platform * Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP). * Leverage GCP services such as:
Data Engineering & GCP Platform * Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP). * Leverage GCP services such as:
Data Engineering & GCP Platform * Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP). * Leverage GCP services such as:
Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you'll ...
Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products. As a senior member of the team, you'll ...
This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. * Key Responsibilities * Design, build ...
This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. * Key Responsibilities * Design, build ...
Solid foundational software engineering skills; familiarity with DevOps, UNIX, Git, Docker, and object-oriented principles * Experience with data processing tools and frameworks such as Apache Spark ...
Solid foundational software engineering skills; familiarity with DevOps, UNIX, Git, Docker, and object-oriented principles * Experience with data processing tools and frameworks such as Apache Spark ...
Key Responsibilities Data Integration & Engineering * Design, develop, and maintain scalable data integration pipelines using Azure and Databricks. * Build and support batch and near real-time data ...
Key Responsibilities Data Integration & Engineering * Design, develop, and maintain scalable data integration pipelines using Azure and Databricks. * Build and support batch and near real-time data ...
Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance); * Contribute to the definition of data quality, security ...
Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance); * Contribute to the definition of data quality, security ...
Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance); * Contribute to the definition of data quality, security ...
Oversee technological choices and implementation patterns for data engineering teams (partitioning, optimization, governance, performance); * Contribute to the definition of data quality, security ...
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
Quick apply
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
Senior Data Engineer
Montreal, QC · On-site
You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. This role is ideal for someone ...
As a Quantitative Data Engineer, you will partner directly with investment teams to understand analytical requirements, engineer scalable solutions, and deliver end-to-end products that support ...
As a Quantitative Data Engineer, you will partner directly with investment teams to understand analytical requirements, engineer scalable solutions, and deliver end-to-end products that support ...
As a Quantitative Data Engineer, you will partner directly with investment teams to understand analytical requirements, engineer scalable solutions, and deliver end-to-end products that support ...
As a Quantitative Data Engineer, you will partner directly with investment teams to understand analytical requirements, engineer scalable solutions, and deliver end-to-end products that support ...
Links to projects, repositories, or examples demonstrating your data engineering work
Quick apply
Links to projects, repositories, or examples demonstrating your data engineering work
Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...
Data Science, Data Engineering, Data Architecture, and Data Analytics . You are simultaneously the architect of the data factory and the director ensuring it delivers high-value outputs to the ...
Who We Think Will Be A Great Fit 5+ years of experience in Data Warehousing and Data Engineering. Deep understanding of RDBMS, database syntax, and SQL technologies. Strong familiarity with REST ...
Who We Think Will Be A Great Fit 5+ years of experience in Data Warehousing and Data Engineering. Deep understanding of RDBMS, database syntax, and SQL technologies. Strong familiarity with REST ...
Data Engineering information
See Montreal, QC salary details
$24.9K - $43.4K
10% of jobs
$43.4K - $61.8K
5% of jobs
$61.8K - $80.3K
4% of jobs
$95.6K is the 25th percentile. Wages below this are outliers.
$80.3K - $98.7K
6% of jobs
$98.7K - $117.2K
8% of jobs
$117.2K - $135.6K
14% of jobs
The median wage is $138.1K / yr.
$135.6K - $154.1K
16% of jobs
$166.7K is the 75th percentile. Wages above this are outliers.
$154.1K - $172.5K
17% of jobs
$172.5K - $191K
11% of jobs
$191K - $209.4K
6% of jobs
$209.4K - $227.9K
2% of jobs
$24.9K
$135.3K
$227.9K
How much do data engineering jobs pay per year?
What is data engineering?
A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.
What does a data engineer do?
Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
What skills and qualifications are needed to thrive as a data engineer?
To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.
Are data engineers still in demand?
What job categories do people searching Data Engineering jobs in Montreal, QC look for?
The top searched job categories for Data Engineering jobs in Montreal, QC are:

Full-time
Life, Retirement
Posted 17 days ago
Job description
Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.
Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.
Pay at Intact is about much more than just salary.
Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
Salary range (but not limited to):
94,200 - 115,200Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):
10%As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.
Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.
Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.
About the role
We are looking for someone with data engineering with a strong software engineering background, analysis and technical leadership backgrounds for our teams.
Our data science lab is one of the largest in the country, and data engineering is one of its main pillars. We have big ambitions and want you to be part of them. Will you join us?
Here's a sneak peak.
On a day-to-day basis, we primarily use cloud Databricks, Amazon Web Services, and Snowflake. Python is our favorite language! We are responsible for ingesting data from many difference sources, but also build complex transformation steps on the data, to provide our scientists quality data that is ready for machine learning and GENAI.
In this mission, you will be supported by business analysts and architects. We use Agile as our organizational methodology, with the support of our product owners and our scrum masters.
What you'll do here:
- With your team, you will participate in the analysis design, development, and delivery of efficient, effective, and secure data pipelines.
- Building on your experience, you will have the opportunity to participate in the implementation of industry best practices.
- Through your leadership, you will be an agent of change who will grow our data engineering practice to make our lab an industry benchmark.
What you bring to the table:
- Bachelor's degree in computer science, Software Engineering or any equivalent combination of training and experience.
- 4+ years experience in Software Engineering / Data Engineering / ETL development / Data Warehousing.
- Understanding of software design pattern, OOP and SOLID principles.
- Strong proficiency in the Python programming language and the PySpark Framework.
- Basic understanding of machine learning and artificial intelligence is a nice to have.
- Bilingualism (French and English) - Need to interact regularly with colleagues from across the country.
- No Canadian work experience required however must be eligible to work in Canada.
#LI-Hybrid
We are an equal opportunity employer
At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.
We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.
As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.
We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.
If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.
Learn more about our recruitment process and your candidate journey here.
Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.
If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.
About Intact
Sourced by ZipRecruiter
Industry
Insurance services
Company size
10,000+ Employees
Headquarters location
Toronto, ON, CA