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Added 1 hour ago
LC
Sr. Director, Pharmacy Services and Virtual Care
Loblaw Companies Limited
Toronto, ON
- Full-time
Lead the go-to-market launch and ongoing operations of our pharmacy services platform by working with cross-functional stakeholders (marketing, loyalty, operations, finance, legal etc.) to…
Added 1 hour ago
LD
Director, Software Engineering
Loblaw Digital
Toronto, ON
- Full-time
…of the technology leadership team, you will ensure that the platform for the rewards program scales to meet ambitious growth targets for the business while addressing the functional and…
Added 1 hour ago
LD
Director, Software Engineering
Loblaw Digital
Toronto, ON
- Full-time
Acting as a member of the technology leadership team, you will ensure that the platform for our eCommerce solution scales to meet ambitious growth targets for the business while addressing…
Added 1 hour ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- 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 2 hours ago
S
DevOps Engineer
Synechron
Halifax, NS
- $110,000 to $115,000 CAD / year
- Full-time
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading…
Added 4 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain a hybrid integration platform, utilizing web services or RESTful-based integrations and APIs
Added 6 hours ago
R
Founding DevOps/SRE Engineer
Requesty
London, ON
- Full-time
We are building the LLM platform that will power tomorrow's AI-first companies.
Added 6 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 6 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…
Added 8 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…strategy and roadmaps, and working with Microsoft Dynamics 365, Power Platform, Azure, and Dataverse. The role requires strong leadership, communication, governance, and stakeholder…
Added 8 hours ago
SM
RQ11491 - Product Manager - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…strategy and roadmaps, and working with Microsoft Dynamics 365, Power Platform, Azure, and Dataverse. The role requires strong leadership, communication, governance, and stakeholder…
Added 8 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 8 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 10 hours ago
GI
Embedded Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
Biosensor Platform – Optical Team: This team is responsible for the optical sensor driver development and integrations among Garmin wearable products. You will work closely with hardware…
Added 11 hours ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
…Studio, Microsoft 365 Copilot, Azure AI Foundry, Azure OpenAI, Power Platform, Dataverse, Microsoft Graph, connectors, and Azure…
Added 11 hours ago
K
Senior Consultant - Agentic developer
KPMG
Montreal, QC
- Full-time
Work hands-on in configuring and developing solutions using Copilot Studio, Power Platform, Azure AI, Azure OpenAI, ChatGPT Enterprise, Claude, Perplexity, APIs, Python, connectors, and…
Added 11 hours ago
ES
Solution Architect
EPAM Systems
Canada
- Full-time
At EPAM, you'll design transformative Salesforce architectures that power global enterprises. As a Solution Architect, you'll bridge business strategy and technical innovation, leading…
Added 11 hours ago
A
Administrative Assistant 1 [AQ-21723]
Aquent
Vancouver, BC
- $28 to $32 CAD / hour
- Contract
…smooth operation of a team focused on a leading collaboration platform. You’ll be instrumental in managing critical logistics, optimizing team efficiency, and directly contributing to the…
Added 13 hours ago
S
Software Engineer, Agent (Spanish speaking)
Sierra
Toronto, ON
- $180,000 to $390,000 USD / year
- Full-time
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands - including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank - to…
Added 13 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain a hybrid integration platform, utilizing web services or RESTful-based integrations and APIs
Added 16 hours ago
C
Technical Design Manager (Grid)
CATL
Canada
- Full-time
…meaningfully to sustainable energy solutions, and provide a platform that supports both the professional and personal growth of our…
Added 16 hours ago
ST
Help Ahead Intake Worker, CPI
Strides Toronto
Toronto, ON
- $51,699 to $60,202 CAD / year
- Full-time
Document all inquiries, intake activities, and outcomes in real time within the designated e-referral platform and client information system, ensuring accuracy, completeness, and…
Added 18 hours ago
T
Channels Architect
TD
Toronto, ON
- Full-time
…products are built and experienced - from the API contracts that power them, to the micro-frontend shells that deliver them, to the connectivity layer that connects them to the world. You…
Added 19 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when…
Added 20 hours ago
SM
RQ11713 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with extensive experience in Microsoft Azure data technologies, Amazon Web Services (AWS), ETL development, data integration, data…

GEI Consultants, Inc.

Data Engineer

Guelph, ON, Canada

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

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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, 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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