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Added 20 mins ago
NQ
mechanical engineer
Nord Quantique
Sherbrooke, QC
- Full-time
Added 20 mins ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
A
Trading Systems Integration Engineer
Ambition
Montreal, QC
- Full-time
We are partnering with a leading global financial markets firm looking to hire a Trading Systems Integration Engineer into its Montreal technology team.
Added 1 hour ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
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Added 4 hours ago
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Montreal, QC
- Full-time
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Senior Salesforce Engineer
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Added 4 hours ago
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Senior Silicon ML Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…nexus of silicon design and machine learning. As a Silicon ML Engineer on our team, you’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on…
Added 4 hours ago
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Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
…responsible for developing and implementing data pipelines, data integration, and data transformation…
Added 5 hours ago
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Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
As a Senior Software Engineer, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing technical…
Added 5 hours ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration…
Added 6 hours ago
T
Full Stack Engineer
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Mascouche, QC
- Full-time
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Added 6 hours ago
RR
Android & Robotics Software Developer
Remote Robotic
Ottawa, ON · Kanata, ON
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Added 6 hours ago
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Founding Engineer, Build and Deployment
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Toronto, ON
- Full-time
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Added 7 hours ago
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Senior AI Developer
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Toronto, ON · Greater Toronto and Hamilton Area, ON
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Added 7 hours ago
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ASICS Design Verification Engineer (Vancouver, Markham OR Remote)
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Added 7 hours ago
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Engineer
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Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or…
Added 8 hours ago
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Senior Full Stack Engineer (Rails & React)
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Vancouver, BC
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We’re seeking a highly skilled Full Stack Software Engineer with deep expertise in Ruby on Rails and React.
Added 8 hours ago
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Lead Automation Engineer
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Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 8 hours ago
M
Software Engineer
Microsoft
Vancouver, BC
- Full-time
The Microsoft Fabric Data Integration team enables organizations to connect, move, and transform data across their data estate. Our integration capabilities help customers ingest,…
Added 8 hours ago
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Senior iOS Software Engineer
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Toronto, ON
- Full-time
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CGI

Ingénieur de données senior

Montreal, QC, Canada

Target salary range: ideally between $105,000 and $115,000. · Full-time

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Job details

Pay: Target salary range: ideally between $105,000 and $115,000.
Job type: Full-time
Apply by: Dec 2, 2026
Experience: Approximately 5 to 7 years’ experience in IT, primarily in data engineering.
Posting language: English
Posted: Nov 2, 2026

Original job description

The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration flows, data models and consumption layers, enabling clients to utilise reliable, integrated and high-quality data.

They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions tailored to clients’ operational and analytical needs.

Your future duties and responsibilities

Design, develop and optimise robust, scalable and maintainable data pipelines.
Develop and maintain ETL/ELT flows for the integration, transformation and consolidation of data from multiple sources.
Contribute to the design of data models, consumption layers and analytical structures tailored to business needs.
Work with cloud and data environments, including Azure Data Factory, Data Lake, Synapse, Databricks or comparable technologies.
Develop or support data products, reports, dashboards or value-added analytical solutions.
Ensure the quality, validation, traceability, performance and documentation of data processing.
Collaborate with business analysts, architects, developers, BI teams and business partners.
Participate in the integration of solutions with various data platforms, APIs, source systems and consumption tools.
Contribute to the testing, validation, deployment and support of delivered solutions.
Take part in Agile ceremonies, work estimation and continuous improvement.
Interact directly with clients to understand their needs, explain technical issues in layman’s terms and contribute to discussions on solutions.

Technical Skills Required

Required qualifications to be successful in this role

Excellent command of SQL and Python.
Significant experience in the design, development and optimisation of data pipelines.
Experience with ETL/ELT concepts, data integration, transformation and orchestration.
Experience with Azure environments, ideally Azure Data Factory, Data Lake, Synapse or comparable technologies.
Experience with Databricks is highly desirable.
Good understanding of data modelling, consumption models and analytical environments.
Knowledge of the principles of data quality, validation, governance, traceability and security.
Experience with BI or data visualisation tools.
Experience in an Agile environment.

Technical Assets

Knowledge of AWS, Microsoft Fabric, Power BI or Snowflake.
Experience with ETL tools such as Informatica, Talend, SSIS or equivalents.
Knowledge of Data Vault, Star Schema, Data Mart or dimensional modelling.
Experience with CI/CD, Git, Jira, Confluence or comparable tools.
Experience in data preparation for AI, ML or advanced analytics use cases.
Experience in the retail, distribution, logistics or shared services sectors.

Key requirements

Approximately 5 to 7 years’ experience in IT, primarily in data engineering.
A bachelor’s degree in computer science, software engineering, information systems or equivalent experience.
Ability to work independently in a client-facing environment.
Good communication and explanation skills, and the ability to collaborate effectively with technical and business teams.
Ability to analyse complex issues and propose practical solutions.
Bilingual in French and English.
Based in the Montreal area or available to work with clients in Montreal.

Target salary range: ideally between $105,000 and $115,000.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

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More about this job

Responsibilities

Design, develop, and optimize scalable data pipelines and ETL/ELT flows, data models, and analytical consumption layers using Azure and related data technologies. Ensure data quality, performance, traceability, testing, deployment, and support while collaborating with clients and technical and business teams.

Requirements

Requires approximately 5 to 7 years of IT experience, primarily in data engineering, strong SQL and Python skills, and experience with data pipelines, ETL/ELT, and Azure or comparable platforms. Candidates should have a bachelor's degree in a relevant field or equivalent experience, be bilingual in French and English, and communicate effectively in a client-facing environment.

Skills

SQL
Python
Data Pipeline Development
ETL/ELT
Data Integration
Azure
Azure Data Factory
Azure Data Lake
Azure Synapse
Databricks
Data Modeling
Data Quality
Data Governance
Business Intelligence
Agile
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Azure
Azure Data Factory
Azure Data Lake
Azure Synapse
Databricks
Microsoft Fabric
AWS
Power BI
Snowflake
Informatica
Talend
SSIS
ETL/ELT
Data Pipelines
Data Integration
Data Modeling
Data Quality
Data Governance
Data Vault
Star Schema
Data Mart
Dimensional Modeling
CI/CD
Git
Jira
Confluence
Agile
Machine Learning

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