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Added 5 days ago
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Sr. Consultant, Back End Developer- Java/Golang/Kubernetes
CIBC
Toronto, ON
- Full-time
…knowledge of GoLang would be an asset. Ideally you are familiar with Containerization (Docker), Azure Cloud Services (Azure SQL, Databricks, ADLS, Event Hub, ADF), PostgreSQL, Kubernetes…
Added 5 days ago
CS
Data Architect
Cyber Space Technologies LLC
ON · Ontario, Canada
- Contract
…data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimization, encryption, tokenization, access controls, logging…
Added 5 days ago
CS
Azure Databricks Architect
Confiar Services
Toronto, ON
- Contract
We are seeking a Principal Azure Databricks Architect to design, architect, and deliver scalable, high-performance data solutions on Microsoft Azure. The ideal candidate will have strong…
Added 6 days ago
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Data Engineer II
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 8 days ago
A
Data and Analytics Technologist
ATCO
Calgary, AB
- Full-time
Develop and maintain ATCO’s Enterprise Data Lakehouse using Microsoft Fabric, Databricks, Azure Data Factory, Azure Data Lake Storage, and related technologies.
Added 8 days ago
M
Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.
Added 8 days ago
B
DevOps Engineer - New Grad (January 2027)
BDO
Toronto, ON
- Full-time
Nice to Have: Knowledge of Microsoft Fabric, Azure Databricks, Kubernetes, Azure SQL Database, Azure Data Factory (ADF), Azure Storage (ADLS Gen2), API Management (APIM), monitoring…
Added 8 days ago
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Data Architect
Entellux
Toronto, ON · Greater Toronto Area, Canada
- Contract
…data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimization, encryption, tokenization, access controls, logging…
Added 9 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON · Toronto, ON · Mississauga, ON · Burlington, ON
- Full-time
Hands-on experience with the following Azure PaaS: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, API
Added 9 days ago
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Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
Hands-on experience with the following Azure PaaS: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, API
Added 9 days ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
Hands-on experience with the following Azure PaaS: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, API
Added 9 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
Hands-on experience with the following Azure PaaS: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Event Hub, API
Added 9 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 9 days ago
C
Data Integration Specialist
Co-operators
Guelph, ON
- Full-time
Experience with following technologies is an asset: Databricks, Python, ADLS, Power
Added 9 days ago
EC
Azure Data Engineer
Experis Canada
Toronto, ON
- Contract
In depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases
Added 9 days ago
M
Senior Data Engineer, Retirement Operations
Manulife
Toronto, ON · Montreal, QC · Halifax, NS
- Full-time
Experience with Azure cloud environment especially Azure Data Factory, ADLS, and Databricks
Added 9 days ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 9 days ago
CS
Data Architect
Cyber Space Technologies LLC
ON · Ontario, Canada
- Contract
…data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimization, encryption, tokenization, access controls, logging…
Added 9 days ago
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Azure Data Engineer with Databricks Expertise
TestingXperts
Ottawa, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 11 days ago
R
Data Analyst - Expert
Raise
Toronto, ON
- Full-time
In depth experience on working with/deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, Synapse dedicated SQL databases
Added 11 days ago
S
Data Engineer
Swoon
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Deploy to and manage Azure PaaS resources (such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases) in a locked-down, highly regulated windows environment.
Added 11 days ago
GT
Databricks Engineer - Expert
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $95 CAD / hour
- Contract
In-depth experience working with and deploying to Azure PaaS resources such as Azure SQL PaaS, ADF/SHIR, ADLS, Databricks, and Synapse dedicated SQL databases
Added 12 days ago
ZL
[SCFD2MWC] AI Architect
ZettaMine Labs Pvt. Ltd.
Canada
- Full-time
Data Platforms: Snowflake, Databricks, Azure Synapse, AWS Redshift, Google BigQuery, Delta Lake, Apache Iceberg.
Added 14 days ago
RT
Data Architect
Reveille Technologies,Inc
Toronto, ON
- Contract
…data controls, supporting architecture decisions, and working with platform teams to implement improvements related to data minimization, encryption, tokenization, access controls, logging…
Added 15 days ago
C
Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
Azure (ingestion/extraction),python, ETL, Unix, SQL,Shell scripting, pyspark, synapse, ADB, ADLS experience

Co-operators

Data Engineering Expert

Guelph, ON, Canada
Toronto, ON, Canada
Mississauga, ON, Canada
Burlington, ON, Canada

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

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Job details

Pay: Expected salary range $114,021 - $164,000+
Job type: Full-time
Posting language: English
Posted: Sep 2, 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.

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More about this job

Responsibilities

The Data Engineering Expert leads the design and implementation of scalable data products and platforms within Azure cloud infrastructure. They are responsible for ensuring data security, compliance, and performance while mentoring staff and driving the adoption of engineering best practices.

Requirements

Candidates must have 8-10 years of data engineering experience with deep expertise in Azure, Terraform, Python, and Pyspark. A strong background in cloud security, data modeling, and CI/CD pipeline development is required to succeed in this role.

Skills

Azure
Data engineering
Terraform
Python
Pyspark
Cloud architecture
CI/CD
Data modeling
ETL
Data warehousing
Azure Databricks
Azure Data Factory
Azure Synapse
Security
Project management
Communication

Benefits

Pension
Health and wellness benefits
Dental coverage
Disability coverage
Life insurance
Mental health support
Employee assistance program
Paid volunteer days
Training and development opportunities
Flexible work options
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Azure
Data Engineering
Terraform
Python
Pyspark
Cloud Architecture
CI/CD
Data Modeling
ETL
Data Warehousing
Azure Databricks
Azure Data Factory
Azure Synapse
Azure SQL
Purview
Microsoft Fabric
Azure ML
Azure OpenAI
Medallion Architecture
Infrastructure as Code
Security
Compliance
Automation
Data Governance
Project Management

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