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Data Engineer Manager Jobs in Quebec (NOW HIRING)

Job Title Data Engineer Internal Title: Data Analyst Build the future with us As a Data Engineer ... Manage source code using GitHub. * Implement CI/CD pipelines with GitHub Actions. * Automate ...

Job Title Data Engineer Internal Title: Data Analyst Build the future with us As a Data Engineer ... Manage source code using GitHub. * Implement CI/CD pipelines with GitHub Actions. * Automate ...

A career as a data engineering developer in the modelling and risk strategies team at National Bank ... Experience in data design, management, transformation and modelling, including approaches such as ...

New

A career as a data engineering developer in the modelling and risk strategies team at National Bank ... Experience in data design, management, transformation and modelling, including approaches such as ...

New

A career as a data engineering developer in the modelling and risk strategies team at National Bank ... Experience in data design, management, transformation and modelling, including approaches such as ...

New

A career as a data engineering developer in the modelling and risk strategies team at National Bank ... Experience in data design, management, transformation and modelling, including approaches such as ...

New

Metadata Management: Curate rich metadata in Unity Catalog and Snowflake to power downstream ... data build tool), treating transformation as software engineering (Git workflows, code review ...

... Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that ... Manage secrets and credentials safely through cloud secret management and Kubernetes - never in ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

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Data Engineer Manager information

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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 Data Engineer Manager jobs in Quebec?

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

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

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

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

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

Infographic showing various Data Engineer Manager job openings in Quebec as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 66% In-person, 7% Hybrid, and 27% Remote job distribution.

Data Engineer, Investments

Montreal, QC • Hybrid

Full-time

Retirement, PTO

Re-posted 17 days ago


Job description

Job DescriptionJob Title

Data Engineer

Internal Title: Data Analyst

Build the future with us

As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will actively contribute to building a robust, scalable, and AI-driven data architecture.

You will work closely with multidisciplinary teams to deliver concrete, high value-added solutions for the organization.

This position represents a great opportunity to showcase your skills and fully leverage your potential within a caring and reliable company. Here, people and their development are at the heart of our priorities, fostering an environment conducive to collaboration and innovation.


What you will accomplish with us

As a Data Engineer, you will be at the core of our mission. Here are your main responsibilities:

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: BigQuery (analytics data warehouse) Cloud Storage (raw data and data zones storage) Dataproc (distributed Spark/Hadoop processing) Cloud Run (deployment of data services and microservices) Cloud Workstations (development environments)
  • Participate in the implementation of modern data lakehouse architectures.
Orchestration and Automation
  • Design and orchestrate data processing pipelines using Prefect.
  • Implement robust, observable, and resilient workflows.
Code Development and Governance
  • Develop in modern environments (VS Code / Cloud Workstations).
  • Manage source code using GitHub.
  • Implement CI/CD pipelines with GitHub Actions.
  • Automate deployments and infrastructure using Terraform (Infrastructure as Code).
Data & AI Enablement
  • Prepare, transform, and structure data to support analytics and artificial intelligence use cases.
  • Collaborate with data scientists to facilitate access to reliable and governed data.
DevOps, DataOps and Reliability
  • Implement DevOps/DataOps practices: Automated testing Pipeline monitoring Error handling and alerting
  • Ensure data quality, traceability, and governance.
Collaboration & Delivery
  • Work collaboratively with: Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners
  • Translate business needs into robust technical solutions.
  • Document solutions and contribute to their continuous evolution.

What could accelerate your success in this role

We are looking for someone who:

  • Has 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field.
  • Holds a degree in computer science, software engineering, or an equivalent field.
  • Masters data modeling concepts (Data Vault, star schema, etc.).
  • Has strong experience with: BigQuery and cloud analytics environments Distributed processing (Spark / Dataproc)
  • Has expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent).
  • Is comfortable with modern development practices: GitHub, GitHub Actions CI/CD Infrastructure as Code (Terraform)
  • Is familiar with microservices-oriented architectures (Cloud Run or equivalent).
  • Understands data governance, security, and cloud access management (IAM).
  • Demonstrates strong analytical skills and the ability to propose relevant solutions.
  • Shows autonomy, rigor, and a constant focus on quality.
  • Thrives in an agile and multidisciplinary environment.
  • Has excellent proficiency in French, both spoken and written.
  • Has an intermediate level of English, as the role involves leading presentations and meetings with internal and external stakeholders on a weekly basis.

Important Assets

  • Experience in a production GCP environment
  • Knowledge of MLOps/DataOps practices
  • Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset
  • GCP certification (e.g., Professional Data Engineer)

Why you'll enjoy working with us

  • An environment focused on innovation and modern data (GCP-first)
  • A strong culture of collaboration between IT, data, and business teams
  • A setting that encourages continuous learning and experimentation
  • A flexible hybrid work environment
  • Competitive benefits: flexible group insurance, competitive retirement plan, employee share purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic equipment program, performance bonus, discounts on iA products, and more!

Apply now and take charge of your career, where your talent truly matters!


Hesitating to apply?

At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply, your place might be with us, and we want to get to know you!

Location(s)Quebec / 1080, Grande Allee WestOther Possible Location(s)Montreal / 1981 McGill College Avenue
Company

iA Financial Group

Posting End Date2026-08-28Company Overview

iA Financial Group* is the strength of a company with a human side, with its over 8,000 employees. Together, we have earned the trust of our more than four million clients and 25,000 advisors who have chosen us for their insurance, savings, and wealth management.

With over $200 billion in assets and half a billion invested in technological innovation, we're a key player in the financial services industry in Canada and the United States. The secret to our success? Investing in you, one person at a time. Because, for over 125 years, we have believed that it's by supporting our employees and surrounding ourselves with the most reputable leaders in the industry, we will continue to innovate.

At iA, we're invested in you.

* iA Financial group includes the following entities: iA Services financiers, iA assurance auto et habitation, iA Gestion privee de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rheaume et associes, Garanties Nationales, WGI Manufacturing, WGI Service Plan Division, Lubrico, iA Financement auto Our Commitment to Diversity and Inclusion

At iA Financial Group, we support and celebrate diversity. We strive to provide a workplace that is recognized as inclusive for all, regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability.

Please note that if you need help or assistance to make the recruitment process more accessible for you, please Contact us here. Someone from our team will be happy to assist you with your needs.