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Added 3 days ago
P/
Artificial Intelligence Engineer
PrecisionERP / PrecisionIT
Regina, SK
- Contract
Must be available to work 100% onsite in Regina, Saskatchewan, five days per week
Added 3 days ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $77 to $83 CAD / hour
- Full-time
Experience with scikit-learn or comparable Python ML libraries.
Added 3 days ago
S
DevOps Engineer
Synechron
Montreal, QC
- Full-time
…more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a…
Added 3 days ago
BS
Ingénieur(e) de données/Data Engineer
Browns Shoes
Montreal, QC
- Full-time
Expérience pratique de la programmation avec Python.
Added 3 days ago
Catastrophe Risk Specialist / Senior Catastrophey Risk Specialist
Wawanesa Insurance
AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Vancouver, BC · Calgary, AB · Toronto, ON · ON · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON · Hybrid - Canada, ON
Proficiency with analytical tools or programming languages such as R, SQL, Python or similar.
Added 3 days ago
B
Manager, AI Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Hybrid with 2-3 days per week onsite
Added 3 days ago
IC
Intermediate Data Scientist
Infotek Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- $45 to $55 CAD / hour
- Contract
This role is approximately 60% Data Science and 40% Data Analytics/Business Intelligence, with a strong emphasis on Python-based data analysis, large-scale data processing, and analytical…
Added 3 days ago
M
Intermediate DevOps Engineer
MDA
Richmond, BC
- Full-time
…industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications…
Added 3 days ago
HI
Portfolio Manager - US Systematic Equities
Hillsdale Investment Management Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We have a new opportunity for a Portfolio Manager to join our Portfolio Management team, with a primary focus on U.S equity strategies. Reporting to the Co-CIO, this individual will play a…
Added 3 days ago
AI
Databricks Lead – Python, PySpark, SQL & Supply Chain Analytics
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Work Model: Hybrid (3 days per week in office)
Added 3 days ago
W
Senior Revenue Operations Analyst
Wagepoint
Remote, Canada
- $92,000 to $118,000 CAD / year
- Full-time
- Remote
Stay Curious and Kind by challenging assumptions, learning quickly, and leading with empathy.
Added 3 days ago
NT
Intermediate Machine Learning Developer
Novarc Technologies Inc.
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As an Intermediate Machine Learning Developer, reporting to the Development Manager, AI/Robotics, you will be responsible for building and deploying perception, classification,…
Added 3 days ago
TT
AI Engineer
Trojan Technologies
London, ON
- $90,000 to $120,000 CAD / year
- Full-time
Strong, hands-on Python development experience, with the ability to build reliable and production-ready AI applications.
Added 3 days ago
SA
Research Scientist - Plastic Welding & Industrial Automation
SPM Automation
Windsor, ON
- Full-time
We build more than machines - we build long-term customer partnerships. By working closely with customers to understand their products, processes, and goals, we turn complex manufacturing…
Added 3 days ago
J
Software Developer - Senior
Joblinxsapp
Toronto, ON
- Full-time
Familiarity with Python and machine learning libraries.
Added 3 days ago
AC
Data Engineering Team Lead
Atlas Corp.
Vancouver, BC
- $120,000 to $130,000 CAD / year
Seaspan employees are goal-driven and thrive in a high-performance culture. Our integrated business model, with over 25 years of fleet life-cycle management expertise, provides the world’s…
Added 3 days ago
D
Senior Manager, Data Analytics
Docebo
Remote, Canada
- $121,700 to $162,300 CAD / year
- Full-time
- Remote
…focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a…
Added 3 days ago
N
Concepteur(trice) Technique Senior | Senior Technical Designer
NBCUniversal
Montreal, QC
- Full-time
…and some in-engine implementation while collaborating closely with engineers and other disciplines to deliver polished player…
Added 3 days ago
V
Application Support Specialist
Velixo
Remote, Canada
- Full-time
- Remote
Experience with Claude, Chatgpt or similar agentic AI platforms, and basic scripting in Python or JavaScript, is an asset.
Added 3 days ago
J
Senior AI Engineer, Marketing
Jobgether
Canada
- Full-time
Working closely with Marketing Operations and technical teams, you will turn complex business needs into dependable, AI-native solutions.
Added 3 days ago
C
Associate AI Scientist , Technology Leadership Advancement Program(TLAP)
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 3 days ago
Robotics Integration Engineering Specialist – Robot, Vision & Edge Connectivity
Siemens
Kitchener, ON
Experience with Python and/or C++ in robotics or integration-heavy environments.
Added 3 days ago
A
Senior Data Engineering
Autodesk
Toronto, ON
- Full-time
Must have worked on Snowflake Cost optimization scenarios
Added 3 days ago
A
Senior Data Engineering
Autodesk
Toronto, ON
- Full-time
Must have worked on Snowflake Cost optimization scenarios
Added 3 days ago
F
Senior AI Application Developer-Evergreen
Fujitsu
Montreal, QC
- Full-time
…creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and…

Autodesk

Senior Data Engineering

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English · French
Posted: Oct 22, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD101237

Position Overview

We are looking for an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing systems, as well as optimizing data flow and collection for cross functional teams. The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve analytics. The focus of your work will be engineering new pipelines and maintaining, creating frameworks, enhancing existing data pipeline with new features to ensure accurate data delivery to stakeholders in a timely manner, also support ad-hoc reporting requirements that facilitate data-driven actionable insights and decision making at Autodesk.

Responsibilities

Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources into Snowflake or Hive warehouses using Python, SQL, DBT, other data technologies
Design, implement, test and maintain data pipelines/ new features based on stakeholders’ requirements
Develop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analysts
Optimize/ maintain workflows/ scripts on present data warehouses and present ETL 
Design / develop / maintain components of data processing frameworks
Basic Knowledge of using LLMs and using AI tools like Co-pilot for development purposes
Build and maintain data quality and durability tracking mechanisms in order to provide visibility into and address inevitable disruptions in data ingestion, processing, and storage 
Translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Focus on automation use cases, CI/CD approaches and self-service modules relevant for data domains
Address questions and concerns from downstream data consumers through appropriate channels
Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader 
Stay up to date with data engineering best practices, patterns, evaluate and analyze new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting, extending, or replacing our own core technologies to stay ahead of the industry
Contribute to Analytics engineering process

Minimum Qualifications

Bachelor's degree in computer science, information systems, or a related discipline 
5+ years in the Data Engineer role
Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management 
Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios
Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
Have experience with workflow management solutions like Airflow
Basic understanding of how to use LLMs for data engineering purposes and tools like GitHub, Copilot, etc.
Experience working with Git
Experience working with big data stack environment, like, Hive, Spark and Presto
Strong analytical, problem solving and interpersonal skills
Familiar with Scrum
Ready to work flexible European hours
Snowflake 
DBT 
Airflow
CI/CD (Jenkins) 
Basic understanding of Power BI
Experience working with remote teams spread across multiple time-zones
Strong organizational skills and attention to detail
Have a hunger to learn and the ability to operate in a self-guided manner

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $100,000 and $146,300 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $100,000 et $146,300 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Read the full bilingual original

Job Requisition ID #

26WD101237

Position Overview

We are looking for an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing systems, as well as optimizing data flow and collection for cross functional teams. The mission of the team is to empower decision makers and the broader data communities through trusted data assets and scalable self-serve analytics. The focus of your work will be engineering new pipelines and maintaining, creating frameworks, enhancing existing data pipeline with new features to ensure accurate data delivery to stakeholders in a timely manner, also support ad-hoc reporting requirements that facilitate data-driven actionable insights and decision making at Autodesk.

Responsibilities

Maintain/develop data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation and loading of data from a wide variety of data sources into Snowflake or Hive warehouses using Python, SQL, DBT, other data technologies
Design, implement, test and maintain data pipelines/ new features based on stakeholders’ requirements
Develop/maintain scalable, available, quality assured analytical building blocks/datasets by close coordination with data analysts
Optimize/ maintain workflows/ scripts on present data warehouses and present ETL 
Design / develop / maintain components of data processing frameworks
Basic Knowledge of using LLMs and using AI tools like Co-pilot for development purposes
Build and maintain data quality and durability tracking mechanisms in order to provide visibility into and address inevitable disruptions in data ingestion, processing, and storage 
Translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business
Focus on automation use cases, CI/CD approaches and self-service modules relevant for data domains
Address questions and concerns from downstream data consumers through appropriate channels
Create data tools for analytics and BI teams that assist them in building and optimizing our product into an innovative industry leader 
Stay up to date with data engineering best practices, patterns, evaluate and analyze new technologies, capabilities, open-source software in context of our data strategy to ensure we are adapting, extending, or replacing our own core technologies to stay ahead of the industry
Contribute to Analytics engineering process

Minimum Qualifications

Bachelor's degree in computer science, information systems, or a related discipline 
5+ years in the Data Engineer role
Built processes supporting data transformation, data structures, metadata, dependency, data quality, and workload management 
Working experience with Snowflake, Hands-on experience with Snowflake utilities, Snow SQL, Snow Pipe. Must have worked on Snowflake Cost optimization scenarios
Overall solid programming skills, able to write modular, maintainable code, preferably Python & SQL
Have experience with workflow management solutions like Airflow
Have experience on Data transformation tools like DBT
Basic understanding of how to use LLMs for data engineering purposes and tools like GitHub, Copilot, etc.
Experience working with Git
Experience working with big data stack environment, like, Hive, Spark and Presto
Strong analytical, problem solving and interpersonal skills
Familiar with Scrum
Ready to work flexible European hours

Preferred Qualifications 

Snowflake 
DBT 
Airflow
CI/CD (Jenkins) 
Basic understanding of Power BI
AWS environment, for example S3, Lambda, Glue, Cloud watch
Experience working with remote teams spread across multiple time-zones
Strong organizational skills and attention to detail
Have a hunger to learn and the ability to operate in a self-guided manner

Learn More / En savoir plus

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

À propos d’Autodesk

Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.

Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.

En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !

Salary transparency / Transparence Salariale

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $100,000 and $146,300 Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $100,000 et $146,300 annuel. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.

Belonging / appurtenance

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Nous sommes fiers de cultiver une culture d’appartenance où chacun peut s’épanouir. Pour en savoir plus, cliquez ici: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

Intégration en présentiel et vérification d’identité

This role may require in-person onboarding and/or in-person ID verification.

Ce poste peut nécessiter une intégration et/ou une vérification d'identité en présentiel.

Apply on LinkedIn About employer

More about this job

Responsibilities

Build, maintain, and optimize data pipelines, processing frameworks, and analytical datasets using technologies such as Python, SQL, Snowflake, Hive, and DBT. Improve data quality, automation, and self-service analytics while supporting stakeholders and downstream data consumers with reliable data assets and reporting.

Requirements

Requires a bachelor's degree in computer science, information systems, or a related discipline and at least five years of data engineering experience. Candidates should have hands-on experience with Snowflake, Python and SQL, workflow and transformation tools such as Airflow and DBT, Git, and big data technologies; familiarity with Scrum and basic use of LLMs is also expected.

Skills

Data Engineering
Python
SQL
Snowflake
DBT
Apache Airflow
Data Pipelines
ETL
Data Quality
Data Modeling
Hive
Spark
Presto
Git
CI/CD
LLMs

Benefits

Stock Grants
Annual Cash Bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Analytics Engineering
Python
SQL
Snowflake
Snow SQL
Snow Pipe
DBT
Apache Airflow
Hive
Spark
Presto
ETL
Data Pipelines
Data Transformation
Data Quality
Metadata
Workload Management
Git
GitHub Copilot
LLMs
CI/CD
Jenkins
Power BI
AWS
Amazon S3
AWS Lambda
AWS Glue
CloudWatch
Scrum

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Work requirements

Jobs in Canada