Engineering & architecture jobs in Canada

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

Counted Sep 18, 2026

Hiring at a glance

View jobs

Open jobs: 4,715
Employers: 1,476

Advertised starting pay

Average starting payCAD / year: $104,610Across 750 listings
Average starting payCAD / hour: $46.18Across 55 listings
Average starting payUSD / year: $135,581Across 35 listings

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

Where work happens

Remote: 3%119 listings
Hybrid: 35%1,669 listings
On-site: 62%2,917 listings

Not specified: <1% (10 listings)

Employers hiring include WSP in Canada (235), Egis Group (147), AtkinsRéalis (123).

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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Mechanical Engineer II
ERMCO-ECI
Mississauga, ON
Full-time
Avionics Engineer Navigation Systems
Morson Edge (Canada)
Rosemère, QC
$120,000 to $140,000 CAD / year
Full-time
Senior Transportation Engineer / Project Manager (Transportation Infrastructure – Highways & Field Services | MTI Focus)
Dillon Consulting Limited
Winnipeg, MB
Full-time
Infrastructure Engineer - Environmental (Engineer)
York Region (The Regional Municipality of York)
Newmarket, ON
Full-time
Senior Engineering Manager, Financial Platform
BuildOps
Toronto, ON
Senior Civil Engineer - Heavy Civil
Klohn Crippen Berger
Vancouver, BC
Full-time
KCB is a multidisciplinary engineering, geoscience, and environmental consulting firm grounded in our values of Passion, Integrity, and Excellence. With teams across North America, South…
Intermediate Electrical Engineer
Saltworks Technologies
Richmond, BC
$80,000 to $100,000 CAD / year
Full-time
Intermediate Structural Engineer
DIALOG
Calgary, AB
Full-time
Planificateur Principal | Master Scheduler (Aerospace)
Aston Carter
Longueuil, QC
$35 to $45 CAD / hour
Contract
Intermediate Civil Engineer
Stantec
Regina, SK
Full-time
Junior Planner
Turner & Townsend
Calgary, AB
Full-time
Senior Water Resources Engineer
Associated Engineering
Vancouver, BC
Full-time
Associated Engineering, a proudly Canadian, Employee-owned Company is seeking an experienced and dedicated Intermediate/Senior Water Resources Engineer to join our team in our Vancouver…
Co-op, Mechanical Engineer
Nutrien
Redwater, AB
Internship
environmental engineer
TRIUM EcoSystems
Calgary, AB
Full-time
Director of Engineering
Marriott International
Toronto, ON
Full-time
Architect, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
Full-time
Biomedical Engineering Technologist
Interior Health Authority
Cranbrook, BC
Full-time
In accordance with established vision and values of the organization, the Biomedical Engineering Technologis
Sr. Structural Engineer
TES The Employment Solution
Oakville, ON
Full-time
Our exclusive client, a leader in the Engineering industry, is seeking an experienced Senior Structural Engineer with a strong background in bridge or highway design to join their…
Production Engineer
Highvale Energy Limited
Calgary, AB
Full-time
Electrical Engineer – Building Design (Revit / BIM Focus)
UL Solutions
Canada
Data Engineering Scientist
Maya HTT
Remote, Canada
Full-time · Remote
Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to…
Tool & Fixture Designer
Napoleon
Barrie, ON
Full-time
Napoleon leads the way with innovative engineering, advanced manufacturing techniques, unsurpassed customer service and remarkable product quality. Our award-winning products offer a…
Draftsperson 3 - Engineering Drafting
Capital Regional District
Victoria, BC
This position will perform civil/ mechanical/ structural engineering design drafting duties
Intermediate Structural Engineer in Calgary, Alberta
Arcadis
Calgary, AB
Full-time
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
Electrical Engineer-in-Training
Allnorth Consultants Limited
AB · Vancouver, BC · Nanaimo, BC
Full-time
Allnorth is a multi-disciplinary engineering, project delivery, and construction services company. We provide smart and practical project solutions to clients in the metals and minerals,…

Maya HTT

Data Engineering Scientist

Remote, Canada

Job type: Full-time
Workplace: Remote

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Collaborate with data scientists and subject matter experts to build and optimize data pipelines for industrial AI and ML-Ops solutions. Ensure data integrity, cleanliness, and reliability while tracking performance metrics for 24/7 operational systems.

Requirements

Requires a Bachelor, Master, or PhD degree along with strong experience in data engineering, statistical modeling, and industrial sensor data. Proficiency in tools like Aveva PI, cloud platforms, and scripting languages such as Python and SQL is essential.

Experience

2 to 5 years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Skills

Data engineering
Data mining
Statistical modelling
Aveva PI
Python
SQL
PowerShell
Azure IoT
AWS IIoT
Esri ArcGIS
Time-series databases
Machine learning
Deep learning
Data visualization
NoSQL
ML-Ops

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability insurance
Long-term disability insurance
Group RRSP
DPSP plan
Flexible PTO policy
Sick days
Personal days
Summer flex schedule

Remote locations

Ontario, Canada

Remote locations (standardized)

Ontario, Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Mining
Statistical Modelling
Aveva PI
Insights Hub
Azure IoT
AWS IIoT
Esri ArcGIS
Time-series
Python
SQL
PowerShell
NoSQL
ML-Ops
AI-Ops
Industrial IoT
Industry 4.0
Operational Technologies
Data Pipelines
Data Visualization
Machine Learning
Deep Learning
Advanced Analytics
Cloud Hosting
Automation
Optimization
Data Integrity
Geo-spatial
Sensor Data
Agile

Original job description

Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to achieve the full potential of their software investment. Maya HTT is at the forefront of innovation technology. Our team delivers extensive engineering and industrial AI expertise along with cutting-edge digitalization solutions with a focus on industrial data, AI, machine learning, industrial edge, IIoT, operational technologies, and Industry 4.0.

Role Summary:

As a Data Engineering Scientist, you'll work closely with a team of data scientists and engineering/manufacturing/operations subject matter experts, mostly with data coming from operational technologies (OT), historians, industrial sensor data, video streams data, and audio stream data. You will also work with engineering and manufacturing experts in order to solve industrial operations business use cases by creating data pipelines to feed ML-Ops systems running machine learning, deep learning and advanced analytics in general.

You will be called upon to align the data available, how to access it securely, transform it, merge and fuse it with other data streams, in order to pre-process the right data and at the right frequency, and make that data reliably useable by the right AI technology(ies). Your focus as part of the team is to select the appropriate data pipelines to best solve the engineering and manufacturing challenges posed collaboratively by our clients and our own Maya engineering and manufacturing experts. You will collaborate with other team members and architect the right data pipelines which will help create a practical AI-Ops (or ML-Ops) solutions for effective decision making by Maya HTT’s clients. As is often the case in newer engineering and manufacturing applications leveraging AI technologies, you will work in an agile fashion to build data pipelines and design experiments to extract the value within the data provided. Given Maya HTT’s focus in engineering and manufacturing AI applications, excellent understanding of time-series from industrial sensors is a big plus, and video processing and audio data processing is a plus.

What to expect as your main responsibilities:

Collaborating with data scientists to create the right data pipelines
Working with Aveva PI AF, EF and other PI tools
Ensuring the data engineering is done properly while remaining agile in the gradual data validation, data merging, and in general produce the right data aligned to the business use case to solve
Defining the data quality metrics to be tracked from a business perspective, and metrics to be optimized on
Checking data cleanliness and identifying dataset biases whenever relevant
Experimenting, building, and optimizing selected data pipeline and methods
Leveraging data mining to uncover interesting patterns or correlation using state-of-the-art methods to help data scientists and subject matter experts
Augmenting datasets either algorithmically or using third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building better engineering and manufacturing automation & optimization systems
Interacting with data engineering specialists to ensure data processing, cleansing, and verifying the integrity of data used for the ML-Ops is reliably done and available during 24/7 operations
Presenting data mining and early data finding results in a clear manner
Collaborating with 24/7/365 ML-Ops team and ensuring the tracking of data feeding the ML/AI model performance over time
Integrating time-series data into geo-spatial tools for increased data visibility in industry

Minimum Requirements:

A Bachelor, Master degree or PhD
Excellent understanding of data engineering, data mining, and statistical modelling
Experience with common data engineering toolkits such as ex-OSIsoft Aveva PI (a must have), Insights Hub, Azure IoT, AWS IIoT/Sitewise
Experience with geo-spatial toolkits such as Esri ArcGIS is a plus
Experience with timeseries database, especially if you have hands-on experience with industrial sensors data
Excellent scripting skills (typically python, SQL, PowerShell)
Experience with cloud hosting and solutions (Aveva, AWS, etc)
Good data story communication skills is a big plus
Experience with data visualisation tools
Experience using query languages such as SQL
Experience with NoSQL databases
Good teamwork skills

Why join Maya HTT?

Permanent Position and Competitive Base Salary.
100% Employer-Paid Benefits starting from Day One: Medical, Dental, Vision, Life, Short/Long Term disability insurances.
Retirement Savings: Group RRSP / DPSP Plan with Employer Contributions open to join from Day One
Career Growth Opportunities: Our flexible career paths allow you to grow, and we like to promote internally.
Learning Opportunities: Learn from the best in the industry and develop your skills.
Generous Time-Off Policy: We promote a Healthy Work-Life Balance with a Flexible PTO Policy, Sick/Personal Days, and a Summer Flex Schedule.
Structured Onboarding Program: We’re invested in your success; you’ll have team members to support you and provide a wide range of assistance from Day One.
Join an award-winning company that is recognized worldwide as an industry leader.

Our Candidate Experience Flow: HR Screen - Virtual Interviews using Microsoft Teams - Job Offer

Maya HTT is an equal opportunity employer and committed to fostering diversity and inclusion in the workplace. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process.

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