Full-time jobs in Canada

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

192,153 listings · 19,973 employers Counted Oct 7, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (5,052 listings), Starbucks Coffee Company (1,894 listings), Loblaw Companies Limited (1,527 listings).

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

21,238 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	82,000.00	12,331
CAD / hour	24.00	6,220
USD / year	95,710.00	1,076
USD / hour	20.00	420
CAD / month	5,519.00	239
CAD / week	1,400.00	32
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	380.00	14
GBP / year	40,000.00	12

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 7 hours ago
Manager, Merchant Strategy & Operations
DoorDash Canada
Toronto, ON · Vancouver, BC
Added 7 hours ago
Human Resources Generalist
Hallcon
Toronto, ON
Added 7 hours ago
Sales Manager - Volvo Cars Surrey
The Jim Pattison Auto Group
Surrey, BC
Added 7 hours ago
Heavy Duty Mechanic - Winter Ice Road
Matrix
Nisku, AB
Added 7 hours ago
Senior Planner. Digital Commerce
The Aldo Group Inc / Le Groupe Aldo Inc.
Montreal, QC
Added 7 hours ago
Key Account Manager - Pharma
AdvanzPharma
Canada
Added 7 hours ago
Finance - Accounts Payable Clerk
Northland Properties
Vancouver, BC
Added 7 hours ago
Architecte de la sécurité SAP / SAP Security Architect
Syntax
Thornhill, ON
Added 7 hours ago
Trust Officer, Scotiatrust - Kelowna, BC
Scotiabank
Kelowna, BC
Added 7 hours ago
Derivatives Clearing Officer
Scotiabank
Toronto, ON
Added 7 hours ago
Senior Manager, Wealth Management Taxation - Toronto, ON
Scotiabank
Toronto, ON
Added 7 hours ago
Manager, RESP and Regulatory
Scotiabank
Toronto, ON
Added 7 hours ago
Total Wealth Planner, Advanced Planning Services - Ontario
Scotiabank
Toronto, ON
Added 7 hours ago
DI
Underwriter, Small Business
Definity Insurance Company
Montreal, QC
- Full-time
Added 7 hours ago
CH
Regional AZ Tanker Driver
Clean Harbors
Breslau, ON
- Full-time
Added 7 hours ago
UO
Clinical Admin Clerk
University of Alberta
Edmonton, AB
- Full-time
Added 7 hours ago
H
Nurse A - Registered Nurse General Duty Nurse
HealthCareersInSask.ca
Saskatoon, SK
- Full-time
Added 7 hours ago
H
Nurse A - Registered Nurse General Duty Nurse
HealthCareersInSask.ca
Saskatoon, SK
- Full-time
Added 7 hours ago
WA
Senior Marketing Specialist
WSA Americas
Burlington, ON
- Full-time
Added 7 hours ago
Account Executive III - Canada
IGT, a Nevada Corporation
Moncton, NB
Added 7 hours ago
CI
Orthopaedic Surgeon
Calian in Space & Technology
AB · Edmonton, AB
- Full-time
Added 7 hours ago
LH
Medical Laboratory Technologist
LeadingEdge HR Solutions
Toronto, ON
- Full-time
Added 7 hours ago
P
Pet Groomer & Salon Trainer
PetSmart
AB · Edmonton, AB
- Full-time
Added 7 hours ago
S
Administrateur(-trice) de contrats / Contracts Administrator
Smardt
Dorval, QC
- Full-time
Added 7 hours ago
RD
Accountant - Casino
Red Deer Resort & Casino
Red Deer, AB
- Full-time

CGI

Senior Google Cloud Data Engineer

Halifax, NS, Canada

Full-time

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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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