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Added 35 mins ago
CS
Senior Azure Cloud Architect
Confiar Services
Toronto, ON
- Contract
We are seeking a highly experienced Senior Azure Cloud Architect to lead the design and implementation of enterprise-scale Azure cloud solutions. The ideal candidate will have strong…
Added 3 hours ago
ZL
[SCFD2MWC] AI Architect
ZettaMine Labs Pvt. Ltd.
Canada
- Full-time
FTE Opportunity :- We are hiring an AI and Data Architect for a strategic Enterprise Data, AI, Generative AI & Agentic AI Architecture initiative with a Tier 1 Bank in the Banking and…
Added 5 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…engineering teams and coding agents can build against them, is the AI Architect's…
Added 8 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…integration frameworks, ensuring the reliability, scalability, and security of critical business systems. This role champions a portfolio of SaaS (i.e., cloud-based) and on-premise…
Added 10 hours ago
Sr. Solution Architect
Rogers Communications
Brampton, ON · Calgary, AB
We’re looking for a hands-on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions.
Added 11 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
Architect and build next-generation AI-powered financial assistance workflows and bespoke chat/reporting interfaces
Added 12 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Perform code reviews and establish development standards, security controls, and best practices.
Added 12 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Perform code reviews and establish development standards, security controls, and best practices.
Added 12 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Perform code reviews and establish development standards, security controls, and best practices.
Added 13 hours ago
MC
Transportation Safety Manager
Migrate Corp
Mississauga, ON
- Full-time
## 🚨 SYSTEM TEST: Enterprise Senior Principal Lead Full-Stack Omni-Channel Cloud Architect, Developer, & Quality Assurance Visionary (GenAI/Web5/Quantum-Ready) - Level IX (Band 12-A) 🚀
Added 13 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
Re-architect and optimise our CI/CD pipelines so build and deployment times drop meaningfully - developer velocity is your scoreboard, not just uptime.
Added 19 hours ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
…inception, ensuring it meets the highest standards of accuracy and…
Added 20 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…integration frameworks, ensuring the reliability, scalability, and security of critical business systems. This role champions a portfolio of SaaS (i.e., cloud-based) and on-premise…
Added 23 hours ago
NC
Solutions architect - cloud management and monitoring
National Consultants Professionals Ltd
Woodbridge, ON
- From $66.15 CAD / hour
- Full-time
- Contract
- On-site
Assess physical and technical security risks to data, software and hardware
Added 1 day ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Perform code reviews and establish development standards, security controls, and best practices.
Added 1 day ago
K
Senior Manager - Senior AI Architect
KPMG
Montreal, QC
- Full-time
As a Senior AI Architect, you will play a key role in defining, assessing, and guiding large-scale technology, data, and AI architectures for our strategic clients. You will act as a…
Added 1 day ago
S
Building Coordinator
SYSTRA
Montreal, QC
- Full-time
Professional Engineer (P.Eng.) or Registered Architect (or eligibility in Canada) is considered as an asset
Added 1 day ago
AI
Information technology (IT) security architect
Aajimatics Incorporated
Hamilton, ON
- From $45 CAD / hour
- Full-time
- On-site
Assess physical and technical security risks to data, software and hardware
Added 1 day ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
…integration frameworks, ensuring the reliability, scalability, and security of critical business systems. This role champions a portfolio of SaaS (i.e., cloud-based) and on-premise…
Added 1 day ago
A
Architecte de solution WEB
Astek
Montreal, QC
- Full-time
Defining security, performance, accessibility, and availability requirements
Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
Deep understanding of Salesforce architecture, data modeling, security, APIs, integration patterns, and platform services.
Added 1 day ago
T
Channels Architect
TD
Toronto, ON
- Full-time
As Channels Architect, you will drive the end-to-end technical architecture for how GTB products are built and experienced - from the API contracts that power them, to the micro-frontend…
Added 1 day ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Perform code reviews and establish development standards, security controls, and best practices.
Added 1 day ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect
Added 1 day ago
MC
Level 2 3 Network Administrator & Projects Specialist (35949)
Myticas Consulting
Ottawa, ON
- Full-time
Architect secure, reliable and scalable infrastructure solutions aligned with client requirements.

Closed listing

GEI Consultants, Inc.

Data Engineer

Guelph, ON, Canada

$90,000 to $150,000 CAD / year · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $90,000 to $150,000 CAD / year
Job type: Full-time
Closing date: Nov 4, 2026
Experience: 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 sitehere.

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.

About employer

More about this job

Responsibilities

Design, build, and operate secure, reliable data pipelines, integrations, data stores, and indexing infrastructure that support enterprise applications and AI use cases, including retrieval-augmented generation. Establish data quality, governance, security, monitoring, and performance controls, and collaborate with AI, architecture, and platform teams to ensure data meets solution requirements.

Requirements

Requires at least four years of data engineering experience, proficiency in Python and SQL, and experience building production ETL/ELT pipelines. Candidates should have experience with Azure data services and data modeling, plus knowledge of governance, security, and CI/CD; Spark is strongly preferred, while Databricks experience and relevant certifications are advantages.

Skills

Python
SQL
PySpark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
ETL/ELT Pipelines
Data Modeling
Data Governance
Infrastructure as Code
CI/CD
Databricks
Delta Lake

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Well-Being Program
Paid Parental Leave
Commuter Benefits
Cell Phone Stipend
Continuing Education Assistance
Tuition Reimbursement
Professional Development
Paid Holidays
Paid Time Off
Profit Sharing
401(k)
Employee Ownership
Annual Performance Bonus

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
PySpark
Spark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
Databricks
Delta Lake
Unity Catalog
ETL/ELT
Data Pipelines
Data Integration
APIs
Microsoft Graph Connectors
Event-Driven Architecture
Batch Processing
Streaming
Retrieval-Augmented Generation
Data Modeling
Data Quality
Data Governance
Data Lineage
Infrastructure as Code
Terraform
Azure DevOps

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