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Knowledge Graph Engineer Jobs in Ontario (NOW HIRING)

GEI Consultants

Data Engineer

Kitchener, ON · On-site

CA$90K - CA$150K/yr

Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event ... Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI ...

GEI Consultants

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event ... Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event ... Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event ... Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI ...

GHD

Senior Copilot Studio Developer

Waterloo, ON · Hybrid

This role translates business needs into welldesigned AI solutions, integrates knowledge sources ... AI-102 Azure AI Engineer is valued. * Experience coaching or mentoring citizen developers, or ...

Td

Principal Platform Engineer

Toronto, ON · On-site

CA$165K - CA$200K/yr

Strong expertise in data modeling, including graph-based data models * Experience with Microsoft ... Working knowledge of Generative AI, LLMs and AI-enabled engineering practices. * Role requires 50 ...

Altera

FPGA Compiler (Placer) Engineer

Toronto, ON · On-site

CA$129.10 - CA$187/hr

Experience in algorithms and data structures (optimization, graph theory, heuristics) * Experience ... Knowledge of FPGA architectures and interconnect fabrics * Familiarity with routing and timing ...

United Airlines

Data Engineer

Mississauga, ON · On-site

... Knowledge of Zookeeper for distributed coordination services Strong proficiency in Spark Core Spark SQL Spark Streaming and Spark Graph Xbeneficial Expert level programming skills in Python and ...

TTEC Digital

Principal Software Engineer

Toronto, ON · Remote

... knowledge assist, and agentic automation - for the world's biggest brands and the millions of ... Reads unfamiliar code, a stack trace, or a flame graph and sees it. Knows where the breakpoint goes ...

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Infographic showing various Knowledge Graph Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Data Engineer

GEI Consultants

Kitchener, ON • On-site

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

286th of 453 rated engineering

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
 
 
 

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