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Added 39 mins ago
Salesforce Technical Lead
Capgemini
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$120,000 to $130,000 CAD / year
Added 39 mins ago
Salesforce Technical Lead
Capgemini
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$120,000 to $130,000 CAD / year
Added 39 mins ago
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Toronto, ON · ON · BC · AMER - Canada - Ontario - Toronto - University Ave
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5+ years of experience working as a Full Stack Developer on complex software solutions within an Agile team environment.
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Montreal, QC
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Python Developer
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Montreal, QC
Contract
Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems
Added 5 hours ago
Senior Data Integration Specialist
Co-operators
Guelph, ON · Toronto, ON · Burlington, ON · Montreal, QC · Quebec, QC · Regina, SK
Full-time
Experience with Microsoft Fabric, Azure Machine Learning (Azure ML), Azure OpenAI, and other Generative AI technologies.

Co-operators

Senior Data Integration Specialist

Guelph, ON, Canada
Toronto, ON, Canada
Burlington, ON, Canada
Montreal, QC, Canada
Quebec, QC, Canada
Regina, SK, Canada

Pay: Expected salary range $83,774- $133,700+
Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Applications open in a new tab.

Original job description

Company: CGL Department: BI Architecture & Operations Employment Type: Regular Full-Time Work Model: Hybrid (2 days in office) Language: English is required, French is an asset. Additional Information: This role is 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.

As a Senior Data Integration Specialist, you will autonomously contribute to various initiatives by engineering data solutions for analytics purposes while also supporting the team through coaching. You will be responsible for providing business value through the creation; maintenance; implementation of back-end data solution (ie. Source System Data Store & Business Data Store) through the full software development lifecycle and effectively communicate said value to a business audience.

Technologies you have experience with:

Required

Hands-on experience with Azure Data Lake Storage (ADLS), PySpark, Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, Microsoft Purview, and Object-Oriented Programming (OOP).

Assets

Experience with Microsoft Fabric, Azure Machine Learning (Azure ML), Azure OpenAI, and other Generative AI technologies.

How you will create impact:

Proficiently working with data engineering tools: general purpose languages used in data engineering or generally in BI and related framework or interfaces, data querying and data handling and DevOps platforms.
Autonomously contributes to assessing data quality and building automated controls.
Define and build data solutions (data models, data pipelines, APIs and more) and support others through execution.
Proficiently develop analytic solutions to solve business problems by understanding the role of data in reporting, metrics, predictive models and other analytic solutions within the BI environment.
Contribute to the design of analytic solutions, considering scalability, automation, security, long term maintainability and performance.
Deeply understand the insurance domain (metrics, KPI, key insurance concept), business objectives, how your own tasks contribute to meeting the business objectives and how they are connected to enterprise goals.
Autonomously and efficiently communicate findings to a business audience.

To join our team:

You have 6-9 years of experience in the Data Engineering/Integration or other related field.
You have a Bachelor’s degree in, Computer Science or any other relevant field.
You have experience solving complex problems by taking a new perspective on existing solutions; and exercising judgment based on the analysis of multiple sources of information by providing clear recommendations for improvement.
You have strong knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
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 $83,774- $133,700+

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

The Senior Data Integration Specialist will engineer and maintain back-end data solutions, including source and business data stores, throughout the full software development lifecycle. They will also contribute to data quality assessments, build automated controls, and provide coaching to team members.

Requirements

Candidates must have 6-9 years of experience in data engineering or integration and a Bachelor's degree in Computer Science or a relevant field. Proficiency in Azure data stack technologies and strong communication skills are required to translate technical findings for business audiences.

Skills

Azure Data Lake Storage
PySpark
Azure Databricks
Azure Data Factory
Azure Synapse Analytics
Event Hub
API Management
Azure Key Vault
Azure SQL
Microsoft Purview
Object-Oriented Programming
Data Engineering
Data Modeling
Data Warehousing
DevOps
Analytics

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

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Lake Storage
PySpark
Azure Databricks
Azure Data Factory
Azure Synapse Analytics
Event Hub
API Management
Azure Key Vault
Azure SQL
Microsoft Purview
Object-Oriented Programming
Data Engineering
Data Modeling
Data Pipelines
APIs
DevOps
Business Intelligence
Data Quality
Insurance Domain
KPI
Predictive Models
Microsoft Fabric
Azure Machine Learning
Azure OpenAI
Generative AI
Data Warehouse
Data Management
Architecture
Design

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