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Added 1 min ago
Senior ServiceNow Developer
FCC / FAC
Quebec, QC · Regina, SK · ON · NB · NS · PE · MB · AB · SK · BC · NL · FCC Tower
Full-time
As a Senior ServiceNow Developer, you’ll design, develop, test and deploy technical solutions that help power FCC’s daily operations. You’ll be a senior hands-on contributor on the team…
Added 13 mins ago
Associate Software Engineer (Winter 2027)
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Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 13 mins ago
Senior Full Stack Java Developer
GlobalVariable
Toronto, ON
Contract
…operational reporting portal. The successful resource(s) will re-platform existing WebFOCUS reports - including the underlying business logic, SQL, and data transformation rules - into a…
Added 31 mins ago
Sr. Consultant, Solution Design
CIBC
Toronto, ON
Full-time
…APIs, and create business process automation solutions using Power Automate and the Microsoft Power…
Added 45 mins ago
Software Java Developer - Platform & Emerging Technologies
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Toronto, ON
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Software Java Developer – Platform & Emerging Technologies
Added 47 mins ago
Senior Specialist, Attribute Verification Product Management
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Toronto, ON · Vancouver, BC
Full-time
…development of products and services that enable global commerce, power financial inclusion, prevent crime, and make some of the most seamless experiences possible. As part of Mastercard…
Added 59 mins ago
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
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…
Added 1 hour ago
Technicien de Centre de Données / Data Center Technician, Data Center Operations, Data Center Operations, Data Center Operations
Amazon Web Services (AWS)
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Added 1 hour ago
Vice President, Integration Management Office
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Toronto, ON
Full-time
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.
Added 1 hour ago
Full Stack Engineer - Azure & Microsoft
Emterra Group
Oakville, ON
Full-time
Power Platform development and integration experience
Added 1 hour ago
Senior Director, AI Research- FR
RBC
Montreal, QC
Full-time
…engineers to develop cutting-edge AI algorithms that directly power RBC's products and…
Added 1 hour ago
Microsoft Power Platform
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly skilled Power Platform & GenAI Developer with hands-on experience in Microsoft Power Apps, Power Automate, Copilot, Large Language Models (LLMs), and database…
Added 1 hour ago
Senior L3 AI Engineer (M365, Copilot & LLM Platforms)
K&K Global Talent Solutions INC.
Quebec, QC
Full-time
Manage integrations with Microsoft 365, Entra ID, Purview/DLP, Power Platform, connectors, ServiceNow, and identity platforms.
Added 1 hour ago
Business Transformation Consultant
ALTEN Canada
Milton, ON
Full-time
Added 1 hour ago
Estates Specialist
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St. Catharines, ON · Toronto, ON · Etobicoke, ON
Full-time
Talent Developer: nurtures and supports direct reports, identifies strong team members, develops digital and analytical skills in direct reports
Added 1 hour ago
Senior Analyst, Valuation & Analytics
Fiera Capital
Montreal, QC
Full-time
Use Microsoft Copilot, Power BI and similar technologies to improve research, analysis, reporting and workflow efficiency.
Added 1 hour ago
Valuations Senior Associate
Pwc Canada
Toronto, ON
Full-time
…(Strong command of Microsoft Excel, experience with Microsoft Power Platform and…
Added 1 hour ago
Staff Software Engineer, Risk Data Engineering
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Canada
Full-time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 1 hour ago
Technical Marketing Manager - Herbicides - Calgary
BASF
Calgary, AB
Full-time
…lab, field, office and in production, we do everything in our power to build a sustainable future for…
Added 1 hour ago
CRM Systems Analyst
Grand & Toy
Vaughan, ON
Full-time
…exciting journey of implementing a robust, enterprise-wide CRM platform, with Dynamics 365 CE at its core. With Sales, Customer Service, and Customer Insights already in place, this is the…
Added 1 hour ago
Application Developer
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is seeking an experienced, detail-oriented Application Systems Developer with deep expertise across the Microsoft Power Platform and Dynamics 365. Reporting to the IT Manager,…
Added 1 hour ago
RQ11579 - Software Developer - Junior
A.T. Consulting & Recruiting Inc.
Toronto, ON
Contract
Informatica IDMC/CDGC + Data Marketplace + Azure Data Platform + SQL Server + Power BI + Metadata Management + Data Governance + API/Metadata Automation + Agile Delivery
Added 1 hour ago
People Insights Visier Platform Manager, Deloitte Global People
Deloitte
Toronto, ON
Full-time
The Visier Platform Manager is responsible, in partnership with technology and product management, for sustainment and evolution of the people analytics technology platform used by the team…
Added 1 hour ago
Site Administrator
Serverfarm
Toronto, ON
$23 to $27 CAD / hour
Full-time
Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across…
Added 1 hour ago
Android Engineer (Senior-Staff Levels)
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MB
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…how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the…

GEI Consultants, Inc.

Data Engineer

Kitchener, ON, Canada

Pay: Pay Range For This Position: $90,000.00 – $150,000.00/year
Job type: Full-time
Apply by: Oct 17, 2026
Experience: 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Posting language: English
Posted: Apr 7, 2026

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Applications open in a new tab.

Original 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

Yes

No

Not Applicable

Color Discrimination

Sensory Requirements

Minimal

Moderate

Accurate

Not Applicable

Depth perception

x

Hearing

x

Environment Requirements

Occupational Exposure Risk Potential

Reasonably Anticipated

Not Anticipated

Blood borne pathogens

x

Chemical

x

Airborne communicable diseases

x

Extreme temperatures

x

Radiation

x

Uneven surfaces or elevations

x

Extreme noise levels

x

Dust/particulate matter

x

Other (exposure Risks)

Usual workday hours:

x

8

10

12

Other work hours

GEI is an AA/equal opportunity employer, including disabled and veterans.

Apply About employer

More about this job

Responsibilities

The Data Engineer designs, builds, and maintains data pipelines and integrations to support enterprise AI solutions and digital initiatives. They collaborate with AI engineers and platform teams to ensure data infrastructure is secure, scalable, and production-ready.

Requirements

Candidates must have 4+ years of data engineering experience with proficiency in Python, SQL, and Azure data services. Experience with ETL/ELT pipelines, data modeling, and AI-related storage patterns is required.

Skills

Python
SQL
PySpark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL/ELT
Data modeling
Terraform
Azure DevOps
Data governance
Databricks
Delta Lake

Benefits

Annual performance bonus
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Well-being program
Paid parental leave
Commuter benefits
Hybrid work schedules
Cell phone stipend
Continuing education assistance
Tuition reimbursement
Professional development
Profit sharing
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI Solutions
Data Pipelines
Python
SQL
PySpark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL
ELT
Data Modeling
Terraform
Azure DevOps
Data Governance
Databricks
Delta Lake
Unity Catalog
RAG
Power BI
Cloud Computing
Data Lineage
Infrastructure-as-Code
CI/CD
Encryption
Role-based Access Control
AEC Industry

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