Jobs in Canada

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Added 1 month ago
CG
Software Engineer III - Financial Services
Cover Genius
Vancouver, BC
- $115,000 to $145,000 CAD / year
- Full-time
Hands-on experience building and maintaining high-quality web services using Python, with familiarity in additional languages such as TypeScript considered a plus.
Added 1 month ago
A
Senior Platform Lead
Affinity
Vancouver, BC
- Contract
On behalf of our client, Affinity is seeking a Senior Platform Lead. The successful candidate will lead platform, integration, automation, and cloud infrastructure initiatives while…
Added 1 month ago
M(
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- $131,000 to $230,000 CAD / year
- Full-time
- Remote
Strong written and verbal communication: you can explain a technical tradeoff to a designer, a support lead, or an executive as easily as to another developer.
Added 1 month ago
M(
Principal Full-Stack Developer - Core
MaintainX (An Autodesk Company)
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
Strong written and verbal communication: you can explain a technical tradeoff to a designer, a support lead, or an executive as easily as to another developer.
Added 1 month ago
KY
Senior Computer Vision Engineer
Koh Young Technology, Inc.
Vancouver, BC
- Full-time
· Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.
Added 1 month ago
K
Senior Software Engineer (Python & Frontend)
Keasis
Montreal, QC
- Contract
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements…
Added 1 month ago
S
Data Platform Engineer
Shift4
Toronto, ON
- Full-time
Own pipeline reliability: define SLOs for freshness and lag, build alerting and dashboards, lead incident response and root-cause analysis for pipeline failures
Added 1 month ago
SP
Technical Lead, Enterprise Applications
Spark Power
Remote, Canada
- $105,000 to $120,000 CAD / year
- Other
- Remote
Spark Power, a trusted partner in energy in North America, are looking for a Technical Lead, Enterprise Applications to join our team. Enterprise Applications provides oversight of the…
Added 1 month ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Lead Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. The successful candidate will…
Added 1 month ago
RB
Senior Manager - Access Network Operations
Royal Bank of Canada
Toronto, ON
- Full-time
Lead RBC's mission-critical Access Network Operations across all branches, campuses, remote home office, ATM networks, global WIFI infrastructure, and global SD-WAN deployment for…
Added 1 month ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Peterborough, ON
- Contract
AI Product Delivery: Lead and actively contribute to the development of AI products, pilots, and enterprise solutions with a focus on writing clean, maintainable code.
Added 1 month ago
C
Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 month ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 month ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 1 month ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines.…
Added 1 month ago
R
Senior Manager - Access Network Operations
RBC
Toronto, ON
- Full-time
Lead RBC's mission-critical Access Network Operations across all branches, campuses, remote home office, ATM networks, global WIFI infrastructure, and global SD-WAN deployment for…
Added 1 month ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Lead end-to-end functional, integration, regression, and system testing across complex banking applications.
Added 1 month ago
N
Principal Silicon Photonics Product Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
…cutting-edge silicon photonics integrated circuits. You'll lead the entire development process, from design and fabrication to testing and analysis, for complex photonic devices and…
Added 1 month ago
D
Engineering Team Lead - Delo
Deloitte
Toronto, ON
- Full-time
Design and build full-stack features across our React/Next.js front-end and Python/FastAPI back-end that power agentic, AI-native workflows.
Added 1 month ago
BS
Senior Cybersecurity Engineer
Blackline Safety
Remote, Canada
- Full-time
- Remote
Lead complex investigations, security initiatives, proof-of-concepts, and technical implementations.
Added 1 month ago
VR
Systems Integration Architect
Venterra Realty
Richmond Hill, ON
- Full-time
We are seeking a Systems Integration Architect to lead the architectural design, governance, implementation, and long-term sustainability of enterprise system integrations across the…
Added 1 month ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
To excel in this senior role, candidates must possess:
Added 1 month ago
TH
ANALYSTE PRINCIPAL, PERSPECTIVES COMMERCIALES, FINANCES
The Home Depot Canada
Toronto, ON
- Full-time
…depending on experience; senior hires work more independently and lead product ownership. Apply today and help shape the next…
Added 1 month ago
TH
Senior Insight Analyst
The Home Depot Canada
Toronto, ON
- Full-time
…depending on experience; senior hires work more independently and lead product ownership. Apply today and help shape the next…
Added 1 month ago
NC
IT Specialist - Web & Odoo Development
Northern Caulking Inc.
Toronto, ON
- Full-time
…hybrid role, you'll keep our systems running day to day and lead our Odoo and web development work for every company in the group. Key…

Co-operators

Data Engineering Expert

Mississauga, ON, Canada

Expected salary range $114,021 - $164,000+ · Full-time

Apply on LinkedIn About employer

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Job details

Pay: Expected salary range $114,021 - $164,000+
Job type: Full-time
Work location: Work Model: Hybrid (2 days in office)
Posting language: English
Posted: Sep 24, 2026

Original job description

Company: CGL

Department: IT - Data Architecture

Employment Type: Regular Full-Time

Work Model: Hybrid (2 days in office)

Language: English is required, French is an asset.

Additional Information: This/these role(s) is/are currently vacant

The Opportunity

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients and our communities.

The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that collect and store large datasets and leading the design and build of data platforms that underpin and accelerate the build of data products.

They ensure the data product is resilient and is readily accessible across various teams in a secure manner. They ensure that data products comply with the data access policies and rules that the governance team implements and leads the design and implementation of robust security measures to protect sensitive information. They are also responsible for upskilling staff members in data tools and technologies and lead the implementation of new tools. They take end-to-end ownership of building, deploying and maintaining data products. They are a seasoned professional with deep understanding of Azure cloud infrastructure, automation principles and has a security-first mindset. Data engineering expert will partner with the business, reporting specialists and with specialists from Advanced Analytics to drive the build of a product that satisfies the requirements of multiple stakeholders. They will also partner with networking, security, data governance, data engineering leaders and vendors like Microsoft and Databricks to drive the build of the data platform.

How You Will Create Impact

Designing and implementing cloud architecture: Plan capacity, create infrastructure including subscriptions, tools and networking aspects such as private endpoints, subnets, (Network Security Groups) NSGs and create and maintain detailed architectural diagrams to support business requirements.
Implement using infrastructure as a Code (IaaC) solutions (Terraform strongly preferred) to automate the provisioning and management of Azure resources such as subscriptions, resource groups, storage, networks and security.
Continuous Integration/Continuous Deployment (CI/CD): Build and Maintain robust CI/CD pipelines that include code quality and security scanning, vulnerability testing to automatically deploy data engineering pipelines to various environments.
Security and Compliance: Integrate security principles throughout the development and deployment lifecycles, leveraging tools for vulnerability scanning, threat modeling, and compliance monitoring.
Lead the build of Data Pipelines templates: Lead a team of engineers in building robust data pipeline templates to automate the future development of data pipelines according to medallion architecture including automated reconciliation, data quality, technical metadata capture and monitoring and altering mechanism.
Performance Optimization: Define and implement automated process to generate alerts on failures or performance degradation of data products with a view of taking proactive steps in resolving issues before they become evident.
Documentation and Maintenance: Define, lead and enforce a documentation system to capture the state of the existing implementation, and to ensure ongoing maintenance and updates.
Process Improvement: Identify and implement engineering best practices and process improvements to enhance the efficiency and effectiveness of the data engineering team.
Stakeholder Communication: Partner with business and technology stakeholders to identify and prioritize Customer centric data initiatives that address business challenges and support business value creation. Ensure that the data engineering team is aware of the priorities and communicate project goals, progress and outcomes.; Partner with security, governance and technology stakeholders to identify and implement changes to infrastructure platform code and ensure that data engineering teams are aware of the changes.
Lead and coordinate security and platform updates to the underlying data infrastructure by collaborating with various data delivery teams and foster a working group to share best practices across the data engineering community at Co-operators.

To Join Our Team

8-10 years of experience in data engineering with experience in building modern data platforms and data products.
5+ years of experience in coding with terraform, python and pyspark; At-least 3+ years of experience designing and implementing scalable data solutions in Azure.
Hands-on experience with the following Azure PaaS: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, API
Management (APIM), Azure Key Vault, Azure SQL, and Purview. Have a good understanding of the backup, disaster recovery, and data recovery strategy and execution with the above services.
Excellent knowledge of Azure infrastructure such as cloud security and networking and experience in implementing best practices; Deep understanding of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
Excellent project management skills with the ability to prioritize and manage multiple priorities simultaneously; Excellent verbal and written communication skills with experience presenting to large and small audiences.
Having experience with Microsoft Fabric (SaaS) and Gen AI-related technology including Azure ML, Azure OpenAI and Databricks would be considered an asset
Experience in building a 360 view of a customer is an added asset.
This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.

How You Will Succeed

You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
You have strong communication skills to clearly convey messages and explore diverse points of view.
You build trusting relationships and provide guidance to support the development of colleagues.

What You Need To Know

You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What’s in it for you?

Training and development opportunities to grow your career.
Flexible work options and paid time off to support your personal and family needs.
A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
Paid volunteer days to give back to your community.
In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.

Expected salary range $114,021 - $164,000+

The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to: local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.

Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and/or business performance, or other business metrics.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the design, development, deployment, and maintenance of secure, resilient data products and Azure data platforms, including reusable data pipeline templates, infrastructure automation, and CI/CD processes. Coordinate with business, engineering, security, governance, and technology stakeholders to prioritize initiatives, improve platform reliability and performance, and guide engineering practices and team development.

Requirements

Requires 8–10 years of data engineering experience, including at least five years with Terraform, Python, and PySpark and at least three years designing scalable Azure data solutions. Candidates should have hands-on experience with Azure data and platform services, strong cloud security and networking knowledge, and expertise in data engineering practices, project management, and communication.

Skills

Azure Cloud Architecture
Data Engineering
Terraform
Python
PySpark
Azure Databricks
Azure Data Lake Storage
Azure Data Factory
Azure Synapse
CI/CD
Infrastructure As Code
Cloud Security
Data Pipelines
Data Modeling
ETL
Project Management

Benefits

Training And Development Opportunities
Flexible Work Options
Paid Time Off
Physical And Mental Health Programs
Paid Volunteer Days
Pension
Health And Wellness Benefits
Dental Coverage
Disability Coverage
Life Coverage
Mental Health Support
Employee Assistance Program
Incentive Programs

Visa sponsorship

Not detected in the job text

Keywords

Azure
Terraform
Python
PySpark
Azure Data Lake Storage
Azure Databricks
Azure Data Factory
Azure Synapse
Event Hub
API Management
Azure Key Vault
Azure SQL
Microsoft Purview
Microsoft Fabric
Azure Machine Learning
Azure OpenAI
Infrastructure As Code
CI/CD
Medallion Architecture
Data Pipelines
Data Products
Data Platforms
Cloud Security
Cloud Networking
Data Governance
Data Modeling
ETL
Data Warehousing
Disaster Recovery
Customer 360

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Jobs in Canada