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Trainee Azure Data Factory Developer Jobs in Toronto, ON

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

Alquemy

Site Reliability Engineer

Toronto, ON · On-site

Site Reliability Engineer Hybrid GTA 12+ months This is an opportunity for someone early in their ... Azure Data Factory, Synapse Analytics, Databricks and Microsoft Fabric Use SQL and Python or ...

IKO Industries, Inc

Senior Data Engineer

Mississauga, ON

CA$130K - CA$140K/yr

Extensive experience with Microsoft data integration tools, specifically Azure Data Factory (ADF ... Hands-on experience with modern DevOps and CI/CD frameworks, utilizing Git workflows (branching ...

Capco

DevOps Engineer

Toronto, ON · Remote

The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support ... Automate the deployment of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure ...

ArcelorMittal

App. Data & BI Developer

Concord, ON · On-site +1

$115K/yr

NET MVC, SQL Server, Azure Data Factory, Power BI, and Python--to improve existing systems, deliver ... Data Engineering, Reporting & Analytics * Design and maintain SQL Server databases, including ...

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Azure Data Factory, ADLS, and Delta Lake. * Strong programming skills in Python, plus practical experience with Spark and * PySpark for large-scale data processing. * Solid grounding in relational ...

CIBC US

Consultant Data Developer

Toronto, ON · Hybrid

... Azure Data Factory and DevOps (Github). At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work ...

New

Td

Data Engineer I

Toronto, ON · On-site

CA$69K - CA$98K/yr

PySpark on Azure Data Factory, Azure Databricks, ADLS, and Delta Lake. * Own the reliability of ... Strong programming skills in Python, plus practical experience with Spark and * PySpark for large ...

CIBC

Consultant Data Developer

Toronto, ON · Hybrid

... Azure Data Factory and DevOps (Github). At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work ...

New

Scotiabank

Data Engineer

Toronto, ON · On-site

... Storage , azure data factory, and related cloud-native data platform components. * Strong ... Experience with DevOps practices, automated testing, deployment automation, and environment ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · Remote

$80 - $95/hr

Work with the FinOps Product Owner to define, estimate, and deliver backlog items in Azure DevOps, ... Additional skills in Azure Data Factory, Databricks, SaaS/platform devleopment, or distributed data ...

IKO Industries, Inc

Data Engineer Co-Op

Mississauga, ON · On-site

Data Engineer Co-Op Date: Aug 10, 2026 Position Reports To:Data Engineer Lead Location: Minnesota ... A foundational knowledge of SQL and ETL tools (e.g., Azure Data Factory, Databricks, SSIS, Talend ...

Td

Data Designer I

Toronto, ON

CA$69K - CA$82K/yr

Experience with Azure SQL Data Warehouse, Azure Data Factory, and other Azure data services. * ETL Processes: Expertise in designing and implementing ETL processes to extract, transform, and load ...

Hire DigITalent

Data Engineering Lead

Toronto, ON · On-site

Deep experience guiding technical teams through agile delivery frameworks and modern DevOps ... Azure Data Factory, Git, and CI/CD frameworks). * Data Design: Strong grasp of data modeling ...

Scotiabank

Integration Engineer

Toronto, ON · On-site

Proficient in Azure cloud services, including Azure SQL Database, Azure Data Factory, Azure Key Vault, Azure DevOps / BLOB Storage. (5+ years) * Experience working with large-scale ETL processes and ...

Scotiabank

Associate Data Engineer

Toronto, ON

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Support cloud and hybrid data platforms including Azure Data Factory pipelines and Power BI Report ...

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Infographic showing various Trainee Azure Data Factory Developer job openings in Toronto, ON as of June 2026, with employment types broken down into 22% Full Time, and 78% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Engineer

GEI Consultants

Concord, ON

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

281st of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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