Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

193,887 listings · 20,143 employers Counted Oct 7, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,976 listings), Loblaw Companies Limited (1,901 listings), WSP in Canada (1,526 listings).

Common roles: Project manager, Sales representative, Store manager.

21,535 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	81,995.00	12,521
CAD / hour	24.00	6,324
USD / year	99,272.50	1,070
USD / hour	20.00	419
CAD / month	4,881.00	231
CAD / week	1,400.00	33
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	380.00	14
GBP / year	40,000.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 2 hours ago
Operations Efficiency Specialist
Nors
Acheson, AB · Mississauga, ON · Missisauga, Ontario, ON
Added 2 hours ago
Reinsurance Specialist
Wawanesa Insurance
Calgary, AB · AB · Vancouver, BC · Winnipeg, MB · Moncton, NB · Dartmouth, NS · Kitchener, ON · Ottawa, ON · Toronto, ON · ON · Montreal, QC · North York - Toronto, ON (Hybr, ON · Edmonton, AB (Hybrid), AB · Hybrid - Canada, ON
Added 2 hours ago
Senior Data Specialist, Retro Administration
Munich Re
Toronto, ON
Added 2 hours ago
Payroll Processing Accounting Clerk
VIA Rail Canada
Montreal, QC
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FB
Director, Compliance Advisory
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Toronto, ON
- Full-time
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EssilorLuxottica Group
Pickering, ON
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Toronto, ON
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Director, Operations - E-Commerce, Vaughan Fulfillment Center
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Vaughan, ON
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Skookumchuck, BC
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Lloydminster, SK
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Manager, Commercial Banking Finance Business Partner - Finance
Scotiabank
Toronto, ON
Added 2 hours ago
Senior Manager, Business Risk Management, Regulatory
Scotiabank
Toronto, ON
Added 2 hours ago
Software Engineer
Scotiabank
Toronto, ON
Added 2 hours ago
Senior, Cloud Engineering
Scotiabank
Toronto, ON
Added 2 hours ago
LL
Support Specialist
LEAP Legal Software
Remote, Canada
- Remote
Added 2 hours ago
P
Senior Consultant, Medical Affairs Strategic Advisory
Prime
Remote, Canada
- Full-time
- Remote
Added 2 hours ago
KT
Journeyperson Automotive Service Technician
Kal Tire
Prince Albert, SK
- Full-time
Added 2 hours ago
BA
Engineering Intern - Summer 2027 (Vancouver, B.C.)
Brown and Caldwell
Vancouver, BC
- Full-time
Added 2 hours ago
Postmaster - Corporate Provided Premises (Grade Office)
Canada Post - Postes Canada
Haines Junction, YT
Added 2 hours ago
Territory Manager - LCBO/Grocery (GTA West) (14 mo. contract, FT)
Southern Glazer’s Wine and Spirits, LLC
Toronto, ON

CGI

Senior Google Cloud Data Engineer

Halifax, NS, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

We are seeking a Senior Google Cloud Data Specialist to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP).

The successful candidate will bring strong hands on data engineering experience, including streaming technologies and real time or near real time data pipelines.

Location: Atlantic Canada

Employment type: Permanent

Your future duties and responsibilities

Your future duties and responsibilities

Design, build, and maintain scalable data pipelines on Google Cloud Platform.
Develop data processing, transformation, and integration workflows.
Build real time and near real time streaming solutions.
Work with large scale datasets using Google Cloud data services.
Design and maintain data models and cloud based data solutions.
Ensure data quality, governance, security, and operational reliability.
Monitor and optimize pipeline and query performance.
Collaborate with data architects, analysts, data scientists, software engineers, and business stakeholders.

Required Qualifications To Be Successful In This Role

Required qualifications to be successful in this role

Senior level hands on data engineering experience with Google Cloud Platform.
Experience designing and building scalable data pipelines and data processing solutions.
Hands on experience with streaming technologies such as Pub/Sub, Dataflow / Apache Beam, Kafka / Confluent, or streaming into BigQuery.
Experience with real time or near real time pipelines and event driven solutions.
Experience with data transformation, integration, modelling, and large scale datasets.
Strong understanding of data quality, governance, security, and performance optimization.
Strong communication, collaboration, analytical, and problem solving skills.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $70,000 –$135,000. This role is an existing vacancy.

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.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable Google Cloud data pipelines, including real-time and near-real-time streaming solutions, data processing workflows, and cloud-based data models. Ensure data quality, governance, security, and operational reliability while optimizing pipeline and query performance and collaborating with technical and business stakeholders.

Requirements

Requires senior-level hands-on data engineering experience with Google Cloud Platform and experience building scalable data pipelines and processing solutions. Candidates should have streaming and event-driven pipeline experience, knowledge of large-scale data transformation, integration, and modeling, and strong understanding of data quality, governance, security, and performance optimization.

Skills

Google Cloud Platform
Data Engineering
Data Pipelines
Streaming Technologies
Pub/Sub
Dataflow
Apache Beam
Kafka
Confluent
BigQuery
Real-Time Data Processing
Data Transformation
Data Integration
Data Modeling
Data Governance
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
GCP
Data Engineering
Scalable Data Pipelines
Data Processing
Data Transformation
Data Integration
Streaming Technologies
Pub/Sub
Dataflow
Apache Beam
Kafka
Confluent
BigQuery
Real-Time Data
Near-Real-Time Data
Event-Driven Solutions
Large-Scale Datasets
Data Modeling
Cloud-Based Data Solutions
Data Quality
Data Governance
Data Security
Operational Reliability
Pipeline Performance
Query Performance
Data Architecture
Data Analytics
Data Science
IT Consulting

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