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Added 9 days ago
RB
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 9 days ago
A
Data Scientist
Affinity
Vancouver, BC
- Contract
Experience with relational SQL and NoSQL databases
Added 9 days ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…
Added 9 days ago
Principal Software Engineer
Conga
Canada
Solid experience with SQL and data stores supporting platform services.
Added 9 days ago
N
Data Scientist
Numeris
Toronto, ON
- Full-time
Proficiency in Python, SQL, or equivalent, and familiarity with reproducible analytical practices including Git,
Added 9 days ago
W
Software Engineer III, Supplier Advertising
Wayfair
Toronto, ON
- $192,047 to $211,914 CAD / year
- Full-time
Build and operate data pipelines in Java (Dataflow/Beam) and SQL (BigQuery) that process events in real time and in batches that power the Wayfair Supplier Advertising Experience platforms .
Added 9 days ago
S
Operational Developer
Sherweb
QC
- Full-time
As an Operational Developer, you will help improve the delivery of our IT solutions by contributing to the implementation, maintenance, and continuous enhancement of our tools and…
Added 9 days ago
SL
Data Engineer – Banking / Financial Domain
Staffingine LLC
Toronto, ON
- Contract
Develop and maintain data workflows using Python and SQL.
Added 9 days ago
T
Python Developer
Tekshapers
Mississauga, ON
- Full-time
Python (core & Advance preferable), Pyspark (Advanced Level)- Data processing, Engineering, ETL Development(using Oracle, mongo, Hive), Advanced Optimization Techniques for processing Large…
Added 9 days ago
Senior Engineering Manager - Hospitality
OpenTable
Toronto, ON
Our data platform is built on a modern, cloud-native stack. Our ecosystem includes technologies for data ingestion (CDC and Kafka), processing (Spark), storage (Databricks/S3), and…
Added 9 days ago
IF
Senior Actuarial Advisor – Financial and Actuarial Services, Dealer Services, U.S. Operations
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Is proficient with actuarial and analytical tools such as R, Python, SAS, or SQL;
Added 9 days ago
K
Data Engineer
Keasis
Montreal, QC
- Contract
Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
Added 9 days ago
A
Senior Engineer or Analyst, Grid Analytics
AESO
Calgary, AB · KPMG Tower
- Full-time
Advanced proficiency in Python, with experience developing complex analytical applications and automation solutions
Added 9 days ago
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Senior Cloud Engineer
Pandell - An ESG Company
Remote, Canada
- Full-time
- Remote
At least five years of experience designing, operating, and improving enterprise environments that include Windows, Linux, and SQL-based systems.
Added 9 days ago
V
Performance Test Engineer - Azure DevOps + OpenShift Container Platform
VSS
Toronto, ON
- Contract
Analyze system behavior using data analysis skills and identify bottlenecks by monitoring metrics from MySQL, Microsoft SQL Server and other databases.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Markham, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
QR
Analyste- Gestion des prix de vente et analyse de données
Quincaillerie Richelieu Ltée/Richelieu Hardware Ltd
Montreal, QC
- Full-time
Détenir des connaissances de base en SQL (Un atout).
Added 9 days ago
QR
Analyste - Gestion de Prix de Ventes et Analyse de Données
Quincaillerie Richelieu Ltée/Richelieu Hardware Ltd
Montreal, QC
- Full-time
Détenir des connaissances de base en SQL (Un atout).
Added 9 days ago
H
Production Support Analyst
Hays
Montreal, QC
- Contract
Hands-on experience with PL/SQL, Shell Scripting, Python, and Perl.
Added 9 days ago
AS
Lead Data Engineer
Alquemy Search & Consulting
Toronto, ON
- $100,000 to $120,000 USD / year
- Full-time
Strong hands-on experience with Python, PySpark, and SQL.
Added 9 days ago
HG
Business Systems Analyst (AI and Automation)
Hypertec Group
QC · St-Laurent, QC
- Full-time
Working knowledge of APIs, system integrations, and data flows, and the ability to query data with SQL or similar tools to validate requirements and results.
Added 9 days ago
HA
Senior Software Engineer
H2 Analytics
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
Advanced database experience (SQL / NoSQL), particularly with MongoDB, PostgreSQL, PostGIS, and geospatial data
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
Added 9 days ago
GC
Data Engineer
GEI Consultants, Inc.
Kitchener, ON
- $90,000 to $150,000 CAD / year
- Full-time
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.

GEI Consultants, Inc.

Data Engineer

Vaughan, 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 and integrations that prepare enterprise data for AI solutions, business applications, analytics, and retrieval-augmented generation. Implement data quality, governance, monitoring, and security controls while collaborating with AI engineers, architects, and platform teams to ensure production-ready data infrastructure.

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, security, and CI/CD or infrastructure-as-code practices; Spark, Databricks, relevant certifications, and professional services or engineering industry experience are preferred or advantageous.

Skills

Python
SQL
Data Pipeline Engineering
ETL/ELT
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL
PySpark
Apache Spark
Azure AI Search
Cosmos DB
Data Modeling
Data Governance
Infrastructure as Code
CI/CD

Benefits

Performance Bonus
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
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

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
Terraform
Azure DevOps
ETL/ELT
Data Pipelines
Data Integration
Retrieval-Augmented Generation
Data Modeling
Data Quality
Data Governance
Data Lineage
Data Cataloging
Access Control
Encryption
Infrastructure as Code
CI/CD
Event-Driven Architecture

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