Engineering & architecture jobs in Canada

Explore engineering & architecture jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 4, 2026

Hiring at a glance

View jobs

Open jobs: 4,602
Employers: 1,437

Advertised starting pay

Average starting payCAD / year: $103,957Across 633 listings
Average starting payCAD / hour: $46.01Across 53 listings
Average starting payUSD / year: $125,728Across 30 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 2%107 listings
Hybrid: 37%1,697 listings
On-site: 61%2,791 listings

Not specified: <1% (7 listings)

Employers hiring include WSP in Canada (263), Stantec (137), AtkinsRéalis (136).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Engineering & architecture jobs in Canada

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Added 2 months ago
GC
Manufacturing Engineer II
Garland Commercial Ranges Ltd
Mississauga, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
Under moderate supervision, the Manufacturing Engineer provides day-to-day support to production on Manufacturing Engineering-related matters to ensure availability for
Added 2 months ago
CR
Package Engineer (Mechanical Engineer EIT)
CIMCO Refrigeration
Sherwood Park, Alberta
- Full-time
Added 2 months ago
Electrical Engineer-in-Training (EIT)
WSP
Vancouver, British Columbia
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 22 days ago
Principal Mechanical Engineer
Mott MacDonald
Toronto, ON
At Mott MacDonald, we trust our brilliant people to do brilliant things in engineering, management, and development services, supporting multisector project work in over 150 countries. As…
Added 1 month ago
Engineering Manager, Business Technology
AutoTrader.ca
Toronto, ON
Added 21 days ago
Mechanical Engineer, Senior - Nuclear, Bowmanville EOI
Hatch
Mississauga, ON
Added 23 days ago
Senior Architect - Direct to Market (D2M)
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Calgary, AB · North York - Toronto, ON (Hybr, ON
Added 2 months ago
S&
Senior Electrical Engineer 2 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Prepare and review engineering design change packages to install, replace or upgrade existing plant equipment to ensure long-term equipment reliability,
Added 2 months ago
S&
Senior Electrical Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Prepare and review engineering design change packages to install, replace or upgrade existing plant equipment to ensure long-term equipment reliability,
Added 1 month ago
GT
Architect - EUC and Modern Workplace Technology
Giant Tiger
Ottawa, ON
- Full-time
Added 2 months ago
S&
Senior Mechanical Engineer
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 2 months ago
S&
Senior Electrical Engineer
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 23 days ago
UE
Dual Fuel Smart Meter Engineer
Utilita Energy
Sudbury, ON
- Full-time
Added 23 days ago
KA
Senior Architectural Technologist
Kasian Architecture Interior Design and Planning
Vancouver, BC
- Full-time
Added 23 days ago
JO
Industrial Engineer
JELD-WEN of Canada
Woodbridge, ON
- Full-time
Added 1 month ago
ZC
electronic service technician
Zenith Canada Equipment Handling
Mississauga, ON
- Full-time
Added 23 days ago
AE
Bridge Engineer-in-Training
Associated Engineering
Edmonton, AB
- Full-time
Associated Engineering, a proudly Canadian, Employee-owned Company is seeking an experienced and dedicated Bridge Engineer-in-Training to join our team in our Edmonton office. In this role…
Added 23 days ago
HA
Junior Structural Engineer
Haag, a Salas O'Brien Company
Woodbridge, ON
- Full-time
Added 23 days ago
D
Senior Product Designer - ILT / TMS
Docebo
Remote, Canada
- $100,400 to $133,900 CAD / year
- Full-time
- Remote
Added 23 days ago
S
Senior Engineering Manager, Media Platform
Solink
Remote, Canada
- $193,000 to $227,000 CAD / year
- Full-time
- Remote
Added 23 days ago
S
Engineering Manager – Civil & Station Engineering
SYSTRA
Toronto, ON
- Full-time
SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and…
Added 4 months ago
L
Electrical Engineer/FPGA Designer
Lumentum
Ottawa, Ontario
- Full-time
Added 4 months ago
X
Engineering Manager, Data
Xsolla
Canada
- Full-time
We are looking for a Senior Engineering Manager to lead our Data Science & Data Engineering team. This role focuses on innovation within data infrastructure, statistical modeling, and…
Added 4 months ago
WI
Senior Architect - Customer & Broker Engagement Technology
Wawanesa Insurance
Winnipeg, Manitoba
- Other
Added 4 months ago
WI
Intermediate Environmental Engineer or Scientist
WSP in Canada
St. Catharines, Ontario
- Full-time

Xsolla

Engineering Manager, Data

Canada

$120,000 - $160,000 a year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $120,000 - $160,000 a year
Job type: Full-time
Experience: 5+ years of experience in software/data engineering or applied data science, with 3+ years managing technical teams in ML, analytics, or ad tech domains.
Posting language: English
Posted: May 12, 2026

Original job description

About You

We are looking for a Senior Engineering Manager to lead our Data Science & Data Engineering team. This role focuses on innovation within data infrastructure, statistical modeling, and advertising technology . You will manage a globally distributed team, scaling and building data-powered systems for attribution, experimentation, campaign analytics, user segmentation, and personalization . This is a unique opportunity to shape Xsolla’s data platform and ad tech capabilities , enabling smarter decision-making and more effective growth strategies for our publishing and monetization products.

About Us

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com .

Responsibilities:

Lead and grow a high-performing, distributed team of data scientists, ML engineers, and data platform engineers.
Define and execute the data science and ad tech roadmap, advancing initiatives in user modeling, campaign optimization, targeting, and personalization.
Architect and manage ML pipelines and experimentation frameworks, including feature engineering, training pipelines, model serving, A/B testing, and causal inference systems.
Oversee real-time pipelines for ad events (e.g., impressions, clicks, conversions), enabling responsive attribution and performance optimization.
Collaborate with Product, Growth, and Marketing to develop audience scoring, LTV/churn models, and incrementality testing for media measurement and bidding efficiency.
Ensure scalable, privacy-compliant data infrastructure aligned with GDPR, CCPA, and ATT, including support for SKAdNetwork, CMPs, and identity frameworks.
Foster engineering excellence with a focus on reproducibility, model evaluation, observability, and model lifecycle management.
Drive a strong feedback loop between experimentation and business outcomes, translating data science insights into product and go-to-market wins.
Mentor engineers and scientists on career development, technical depth, and cross-functional leadership.

Qualifications & Skills:

5+ years of experience in software/data engineering or applied data science, with 3+ years managing technical teams in ML, analytics, or ad tech domains.
Deep understanding of machine learning and statistical modeling, including regression, classification, causal inference, uplift modeling, and forecasting.
Hands-on experience with ML/data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, and feature stores.
Proven experience in architecting and deploying end-to-end ML systems into production (batch and real-time).
Knowledge of ad tech ecosystems, including campaign hierarchies, attribution models (multi-touch, view-through), and creative performance tracking.
Familiarity with audience management, segmentation, and personalization frameworks in programmatic or CRM marketing.
Experience with privacy-preserving measurement, including support for SKAdNetwork, GAID/IDFA deprecation, and consent systems.
Excellent leadership, communication, and stakeholder management skills across technical and non-technical audiences.
Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or a related field. PhD is a plus.

$120,000 - $160,000 a year

The listed range is specific to Canada and varies based on factors such as location and experience.

Benefits:

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement:

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.

We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration:

For the Engineering Manager, Data, we will conduct a background check that may include the following:

Criminal history check

Employment verification

Education verification

Relevance to Job Responsibilities:

The background check is relevant to this position because of the following role responsibilities:

Accessing confidential company data

Ensuring compliance with regulatory requirements

Handling sensitive financial information/managing budgets/accessing funds

Rights Under the Fair Chance Act:

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply About employer

More about this job

Responsibilities

Lead and grow a high-performing, distributed team of data scientists and engineers. Define and execute the data science and ad tech roadmap, focusing on user modeling, campaign optimization, and personalization.

Requirements

Candidates should have 5+ years of experience in software/data engineering or applied data science, with at least 3 years in a management role. A deep understanding of machine learning, statistical modeling, and experience with ML/data platforms is essential.

Skills

Data Engineering
Machine Learning
Statistical Modeling
Ad Tech
Data Science
User Segmentation
Personalization
ML Pipelines
Experimentation Frameworks
Privacy Compliance
Audience Management
Campaign Optimization
Leadership
Communication
Stakeholder Management

Benefits

Medical
Dental
Vision
PTO
Career Roadmap
Professional Development

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Data Engineering
Machine Learning
Statistical Modeling
Ad Tech
Attribution
Experimentation
Campaign Analytics
User Segmentation
Personalization
ML Pipelines
Feature Engineering
A/B Testing
Causal Inference
GDPR
CCPA
SKAdNetwork
BigQuery
Snowflake
Spark
Airflow
dbt
MLFlow
Privacy Compliance
Audience Management
Segmentation
CRM Marketing
Leadership
Communication
Stakeholder Management

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