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Added 5 mins ago
CL
Finance & ERP Manager
Caledon Laboratories Ltd
Georgetown, ON
- $110,000 to $125,000 CAD / year
- Full-time
ERP System Ownership & Optimization: Serve as the strategic architect and internal owner of our Odoo platform. Continuously audit, refine, and optimize data flows across the Manufacturing…
Added 21 mins ago
B
Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Advanced certifications such as Certified Information Systems Security Professional (CISSP), cloud-specific certifications (e.g., AWS Certified Solutions Architect) are considered an asset
Added 21 mins ago
RB
Director, SAP APFA Platform Lead
Royal Bank of Canada
Halifax, NS
- Full-time
…are treated with respect and dignity. Partner with the SAP Architect and Global SAP Lead to ensure alignment between functional design and technical…
Added 33 mins ago
A
AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI, Generative AI, Machine Learning, RAG, and Agentic AI solutions. The…
Added 33 mins ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
Collaborate with architects, data engineers, AI/ML engineers, and business stakeholders to deliver enterprise-grade solutions.
Added 33 mins ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
The Company: Varonis (Nasdaq: VRNS) is a leader in data security, fighting a different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously…
Added 51 mins ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Lead the technical design of Dynamics CRM solutions, including application architecture, data models, integrations, security, and deployment approaches.
Added 1 hour ago
Technical Architect Contracts (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
Department: Cyber Security & Digital Solutions
Added 1 hour ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
We’re a small, high-impact, AI-Native consulting firm building at the intersection of Data and AI. We leverage cutting-edge AI to build custom, production-grade systems for our clients. We…
Added 1 hour ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 1 hour ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
…engineering teams to discover business problems, analyze real-world data, rapidly build AI-powered solutions, and deploy reliable, production-ready applications that deliver measurable…
Added 1 hour ago
F/
Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
AWS certifications (e.g., Cloud Practitioner, Data Engineer or Solutions Architect)
Added 1 hour ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data & Analytics Solutions Architect- AI/ML
Added 1 hour ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Added 1 hour ago
AC
Senior System Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics…
Added 1 hour ago
AC
Senior System Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics…
Added 1 hour ago
T
Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
Use knowledge of business acumen and technical expertise to play a lead role in shaping the technical vision to create complex distributed solutions, technical designs, and integrations.
Added 1 hour ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Architect and build scalable cloud-native solutions on Microsoft Azure, leveraging services such as AKS, App Service, Azure SQL, and Service Bus.
Added 1 hour ago
Director, HR Technology Engineering
Scotiabank
Toronto, ON
As an Architect, you will be at the forefront of shaping the digital employee experience. Your mission is to architect and deliver scalable, secure, and forward-thinking solutions that…
Added 2 hours ago
TC
Data & Analytics Solutions Architect
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Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
Added 2 hours ago
R
Technologies numériques - Opérations manufacturières : Analyste des systèmes MES / Digital Technologies - Manufacturing Operations: MES Systems Analyst
RTX
Longueuil, QC
- Full-time
…et proactive, qui souhaite contribuer à la mise en œuvre de solutions numériques au sein de notre plateforme d’entreprise MES et MOM afin de soutenir nos centres moteurs partout dans le…
Added 2 hours ago
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Toronto, ON
Develop and configure Duck Creek Policy, Billing, and Claims solutions.
Added 2 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 2 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.

GEI Consultants, Inc.

Data Engineer

Guelph, ON, Canada

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

Apply About employer

Applications open in a new tab.

Job details

Pay: $90,000 to $150,000 CAD / year
Job type: Full-time
Apply by: 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

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 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.

Apply About employer

More about this job

Responsibilities

Design, build, and operate secure, production-ready data pipelines and integrations that provide reliable, governed enterprise data for AI solutions, business applications, and analytics. Maintain data stores and retrieval infrastructure, implement quality, lineage, security, and monitoring controls, and collaborate with AI, architecture, and platform teams to meet solution requirements.

Requirements

Requires at least four years of data engineering experience, proficiency in Python and SQL, and experience building production ETL/ELT pipelines with varied data sources. Candidates should have experience with Azure data services, data modeling, governance, and security; Spark, AI retrieval services, infrastructure-as-code, and CI/CD are also relevant, while Databricks experience and certifications are advantageous.

Skills

Data Engineering
Python
SQL
PySpark
Apache Spark
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

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
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
Apache Spark
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
Azure AI Search
Cosmos DB
Databricks
Delta Lake
Unity Catalog
Power BI
Retrieval-Augmented Generation (RAG)
ETL/ELT
Data Pipelines
APIs
Microsoft Graph Connectors
Event-Driven Architecture
Data Modeling
Data Quality
Data Lineage
Data Governance
Terraform
Azure DevOps
CI/CD
Role-Based Access Control
Encryption

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