Jobs in Canada

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Added 26 days ago
A
Data and Analytics Technologist
ATCO
Calgary, AB
- Full-time
Implement data quality controls, validation, and monitoring, and lead root cause analysis and resolution when issues arise.
Added 26 days ago
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Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Global Functions Technology (GFT) partners across RBC to deliver transformative platforms and solutions. In Anti-Money Laundering (AML), we are building a Data Foundation Hub to ingest…
Added 26 days ago
RT
Databricks Engineer
Rang Technologies Inc
Mississauga, ON
- $110,000 to $115,000 CAD / year
- Full-time
Lead the design development and optimization of enterprise scale data platforms using Azure Databricks Drive architecture mentor teams implement scalable data pipelines and ensure…
Added 26 days ago
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Lead Business object Power BI
Galent
Mississauga, ON
- Contract
Data Engineering Development PySpark Python Spark SQL and TSQL Fabric Notebooks Delta Tables and Delta Lake dimensional data modeling metadata driven frameworks data transformation…
Added 26 days ago
ZS
Sr. IFRS17 Data Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Develop and maintain backend systems using Python and PySpark, ensuring high performance, scalability, and reliability.
Added 26 days ago
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Data Engineer II
TD
Toronto, ON
- Full-time
Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
Added 26 days ago
K
Senior Analytics Engineer - Finance
Kraken
Canada
- Full-time
Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes.
Added 26 days ago
TC
Principal Consultant – AWS Data Platforms & Agentic AI
Tata Consultancy Services
Toronto, ON
- Full-time
…Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model,…
Added 26 days ago
TI
Senior DataOps / Cloud Data Engineer
Teckhorizon Inc
Toronto, ON
- Contract
Lead data migration and integration from Oracle to Azure Data Lake, Databricks, and Microsoft Fabric.
Added 27 days ago
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Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
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Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 27 days ago
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Data Engineering Expert
Co-operators
Guelph, ON · Toronto, ON · Mississauga, ON · Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 27 days ago
C
Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 27 days ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 27 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
Work Model: Hybrid (2 days in office)
Added 27 days ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Forward Deployed Engineer (Python/PySpark + Claude AI + Data & MLOps)
Added 27 days ago
RA
Data Scientist – GenAI & Machine Learning
Recruit Action inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $60 CAD / hour
- Contract
Experience writing complex SQL and PySpark queries to extract and integrate data from multiple database sources.
Added 27 days ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…
Added 27 days ago
J
Senior Data Engineer
JLL
Toronto, ON · Canada Home Office - ON
- Full-time
…better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow…
Added 27 days ago
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Data Scientist III
TD
Toronto, ON
- Full-time
You’ll work with data scientists, model developers, data engineers, product owners, business partners, Technology and control functions across Business Banking. Together, we turn complex…
Added 27 days ago
CI
Director, Public & Alternative Investments, Data Platforms
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Lead agile roadmap delivery and engineering excellence, embedding CI/CD, infrastructure as code, automated testing and reusable frameworks while engaging senior stakeholders, investment…
Added 27 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 27 days ago
KG
Forward Deployed Engineer (Python/PySpark, LLM)
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Forward Deployed Engineer (Python/PySpark, LLM)
Added 27 days ago
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Python GenAI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 27 days ago
V
Python Gen AI Developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…

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

Apply on recruiting.ultipro.com About employer

Applications open in a new tab.

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 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.

Apply on recruiting.ultipro.com About employer

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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Jobs in Canada