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Added 1 hour ago
R
Senior Front End / Full Stack Software Engineer
REW.ca
Vancouver, BC
- Full-time
As part of our team, you’ll help architect scalable applications, design modern front-end systems, and integrate a wide range of advanced data sets and services. Beyond building, you’ll…
Added 1 hour ago
I
Senior Consultant - ServiceNow HRSD
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
…demand but also include scheduled activities. The Solution Architect contributes to the structuring and implementation of solutions and takes overall ownership for the quality of the…
Added 1 hour ago
I
Senior Consultant - ServiceNow CSM
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
…solutions leveraging the ServiceNow platform. The Solution Architect contributes to the structuring and implementation of solutions and takes overall ownership for the quality of the…
Added 1 hour ago
I
Senior Consultant - ServiceNow HRSD
Infosys
Calgary, AB
- Full-time
…demand but also include scheduled activities. The Solution Architect contributes to the structuring and implementation of solutions and takes overall ownership for the quality of the…
Added 1 hour ago
Y
VMware VCF 9 Senior Consultant
Yochana
Canada
- Contract
Design and architect VMware VCF-based solutions aligned with customer requirements.
Added 1 hour ago
I
Senior Consultant - ServiceNow CSM
Infosys
Calgary, AB
- Full-time
…solutions leveraging the ServiceNow platform. The Solution Architect contributes to the structuring and implementation of solutions and takes overall ownership for the quality of the…
Added 1 hour ago
Infrastructure Solutions Group Channel Sales Engineer
Lenovo
Markham, ON
The Infrastructure Solutions Group Solution Architect/Sales Engineer helps drive channel partner sales for Lenovo's Data Center product line as part of the Lenovo channel technical sales…
Added 2 hours ago
R
Senior Front End / Full Stack Software Engineer
REW
Vancouver, BC
- Full-time
As part of our team, you’ll help architect scalable applications, design modern front-end systems, and integrate a wide range of advanced data sets and services. Beyond building, you’ll…
Added 2 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 3 hours ago
V
Software Engineer - ML Launchpad
Verily
Waterloo, ON
- Full-time
Ensure Production Readiness: Architect and develop high-quality, reliable, and performant AI/ML software solutions that meet project requirements.
Added 6 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
We are seeking an experienced and strategic ServiceNow Architect to lead the design, implementation, and scaling of our enterprise ServiceNow platform. In this role, you will bridge the gap…
Added 6 hours ago
MM
Technical Architect
Mitchell Martin Inc.
Toronto, ON
- $39.2 to $56 USD / hour
- Other
Technical Architect - Toronto, ON - Contract - $39.20-$56.00 Per Hr
Added 6 hours ago
LT
Technical Architect for Box Capital Markets
Lorven Technologies Inc.
Toronto, ON
- Contract
Role Name: Technical Architect for Box Capital Markets
Added 6 hours ago
M
Machine Learning Engineer
Mission.dev
Canada
- Full-time
Architect high-performance inference systems to optimize latency, GPU utilization, and cost-efficiency.
Added 8 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 9 hours 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 9 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to…
Added 14 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 17 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 19 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 22 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 22 hours ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
Architect scalable frontend systems and lead technical transitions to modern frameworks or patterns.
Added 22 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
…define how data flows across the organization and build the infrastructure that enables data-driven decisions at every level. This is a hands-on technical role first - you will be the first…
Added 23 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
…processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make…
Added 1 day ago
NC
Solutions architect - cloud management and monitoring
National Consultants Professionals Ltd
Woodbridge, ON
- From $66.15 CAD / hour
- Full-time
- Contract
- On-site
Information technology infrastructure library (ITIL) Certification

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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