1

Data Engineer Intermediate Jobs in Quebec, QC (NOW HIRING)

Job Title Data Engineer Internal Title: Data Analyst Build the future with us As a Data Engineer ... Has an intermediate level of English, as the role involves leading presentations and meetings with ...

Your future role on our team We'relooking for a dynamic, innovative and creative intermediate ... Help develop multidisciplinary estimates using engineering data, material quantity take-offs and/or ...

Your future role on our team We'relooking for a dynamic, innovative and creative intermediate ... Help develop multidisciplinary estimates using engineering data, material quantity take-offs and/or ...

The Data Conversion Lead is responsible for coordinating all activities related to the integration ... Intermediate T-SQL / Microsoft SQL Server skills level Assets * Experience with Azure DevOps, ...

Job Summary The Solutions Engineer collaborates with account teams to assess customer data center ... Experience working in complex Data Center sales opportunities - Intermediate * Ability to design ...

The T-SQL Data Conversion Developer is responsible for programming all the transformations required ... Intermediate knowledge of English is required because you will on a regular basis interact in ...

Develop multidisciplinary estimates using engineering data, material quantity take-offs and/or scope of work documentation * Organize estimates based on the work breakdown structure and established ...

Knowledge of Engineer-to-Order (ETO) supply chain models * Advanced Tableau proficiency for dashboard creation and data visualization Intermediate knowledge of English is required because you will ...

Salesforce certifications and knowledge of Data 360 and Agentforce are considered strong assets ... Intermediate level of English, as the role involves participating in meetings and presentations, as ...

next page

Showing results 1-20

Data Engineer Intermediate information

What is an intermediate data engineer?

An intermediate data engineer is a professional who designs, builds, and maintains data pipelines and infrastructure, typically with several years of experience. They are proficient in tools like SQL, Python, and cloud platforms, and often work on optimizing data workflows and ensuring data quality. This role requires a solid understanding of data modeling, ETL processes, and basic knowledge of distributed systems.

What are some common challenges Data Engineer Intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What engineer makes 500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require strong programming, data architecture, and leadership capabilities, along with relevant certifications and a track record of managing complex data systems.

What are Data Engineer Intermediates?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $300,000 or more annually. High compensation is often associated with working in large organizations, possessing specialized certifications, and leading complex data projects.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

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

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.
Infographic showing various Data Engineer Intermediate job openings in Quebec, QC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% Hybrid, and 50% Remote job distribution.

Data Engineer, Investments

Industrial Alliance Pacific

Quebec, QC • Hybrid

Full-time

Retirement, PTO

Re-posted 7 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 Date2026-07-17Company 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.