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Added 11 days ago
S
Data Platform Engineer
Shift4
Toronto, ON
- Full-time
This is a hands-on infrastructure engineering role focused on pipeline performance, reliability, scalability, resource optimization, cost efficiency, and observability. You will help ensure…
Added 11 days ago
SP
Technical Lead, Enterprise Applications
Spark Power
Remote, Canada
- $105,000 to $120,000 CAD / year
- Other
- Remote
Proficiency in developing SQL queries, extracting data from databases, and understanding complex database schemas and database objects.
Added 11 days ago
A
Senior Application Development Specialist
AESO
Calgary, AB · KPMG Tower
- Full-time
Working collaboratively with Solution Architecture, Technical Leads, Product Teams, Cyber Security, Data and Artificial Intelligence teams, the role translates approved technology direction…
Added 11 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Work hands-on with Python, SQL, Spark, Hadoop, and Databricks to develop scalable data-processing pipelines, reusable analytical datasets, model features, and production-ready solutions.
Added 11 days ago
AI and Data - Senior Consultant - AI Engineer
EY
AB · Calgary, AB
A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
Added 11 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
Added 11 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON · Toronto, ON · Mississauga, ON · Burlington, ON
- Full-time
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…
Added 11 days ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Peterborough, ON
- Contract
Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and domain experts to translate business requirements into robust technical solutions.
Added 11 days ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank
Toronto, ON
- Full-time
…business analysis and process improvement with hands-on solution engineering using approved enterprise AI, automation, analytics, scripting, and low-code platforms. The incumbent works with…
Added 11 days ago
C
Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
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…
Added 11 days ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
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…
Added 11 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
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…
Added 11 days ago
KG
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Collaborate with application, data engineering, infrastructure, and DevOps teams to onboard and support Kafka applications.
Added 11 days ago
KG
Senior Python Developer (PySpark & AWS Platform Engineering)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
We are seeking an elite Senior Python Developer with a mastery of PySpark and AWS distributed infrastructure to drive the engineering and integration of our core data platform ecosystem.…
Added 11 days ago
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Job Posting Title Quantitative Developer, Global Asset Management
BMO
Toronto, ON · FCP
- Full-time
…operations. The ideal candidate combines a deep understanding of data engineering with a strong knowledge of financial markets and…
Added 11 days ago
ZS
Forward Deployed Engineer (Python/PySpark + Claude + SQL + APIs + Data & MLOps)
Zodiac Solutions, Inc
Toronto, ON
- Full-time
10–14 years of experience in Data Engineering, AI Applications, LLM Integration, APIs and MLOps platforms.
Added 11 days ago
P
Senior Software Engineer
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Knowledge of scripting languages such as Python, Bash or Groovy
Added 11 days ago
B
Job Posting Title Quantitative Developer, Global Asset Management
BMO
Toronto, ON
- Full-time
…operations. The ideal candidate combines a deep understanding of data engineering with a strong knowledge of financial markets and…
Added 11 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
…This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured…
Added 11 days ago
AS
Applied Scientist, Alexa Connections
Amazon Science
Vancouver, BC
- Full-time
Master's degree or above in computer science, electrical engineering, or related field
Added 11 days ago
MR
Data Analyst IV
Motion Recruitment
Toronto, ON
- Contract
A leading Canadian financial institution is hiring a Senior Data Analyst / Product Owner for a hybrid, long-term contract role in Toronto, ON. The work is mostly Power BI, SQL, Python and…
Added 11 days ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Degree in Computer Science, Engineering, or a related field.
Added 11 days ago
H
Application Developer
Hays
ON · Ontario, Canada
- $70 to $75 CAD / hour
- Contract
Seeking a Senior Software Engineer with experience in software development, cloud engineering, DevOps, and data platforms. The role involves building enterprise applications and APIs,…
Added 11 days ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
This role requires close collaboration across optical, digital, high-speed analog, ASIC, software, and systems engineering teams. A key aspect of the position is the ability to understand…
Added 11 days ago
D
Business Analyst
Dexian
Toronto, ON · Greater Toronto Area, Canada
- Contract
Read, write, and analyze Python and SQL code to support data analysis, validation, and business problem-solving.

Co-operators

Data Engineering Expert

Burlington, ON, Canada

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

Apply About employer

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Job details

Pay: Expected salary range $114,021 - $164,000+
Job type: Full-time
Apply by: Nov 1, 2026
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 About employer

More about this job

Responsibilities

Lead the design, implementation, deployment, and maintenance of secure, resilient data products and Azure data platforms, including reusable pipeline templates, infrastructure automation, and CI/CD processes. Coordinate with business, engineering, security, and governance stakeholders to prioritize initiatives, improve platform operations, enforce compliance, and develop the data engineering team.

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 services, cloud security and networking, disaster recovery, data modeling, ETL, and data warehousing, along with strong communication and project management skills.

Skills

Data Engineering
Azure Cloud Architecture
Terraform
Python
PySpark
Azure Databricks
Azure Data Factory
Azure Data Lake Storage
Azure Synapse
Infrastructure As Code
CI/CD
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
Supportive Workplace Culture
Paid Volunteer Days
Pension
Health And Wellness Coverage
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
Network Security Groups
Private Endpoints
Vulnerability Scanning
Disaster Recovery
Data Modeling
ETL
Data Warehousing

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