Jobs in Canada

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Added 9 mins ago
WC
(CAN) Health and Beauty Team Lead
Walmart Canada
Cobourg, ON
- Full-time
Added 9 mins ago
WC
Light Equipment Operator - Ridge Landfill
Waste Connections of Canada
Chatham-Kent, ON · Blenheim, ON
- Full-time
Assist with litter fence placement and follow Lead Hand Operator direction as required.
Added 9 mins ago
WC
(CAN) Customer Service Manager
Walmart Canada
Steinbach, MB
- $15 CAD / hour
- Full-time
…skills in a fast paced retail environment. In this role, you lead front end operations to deliver exceptional customer service, support a positive shopping experience, and drive customer…
Added 9 mins ago
FC
Seasonal Courier-1
FedEx Canada
St. John's, NL · Greater St. John's Metropolitan Area
- Part-time
Added 9 mins ago
T
Keyholder
Torrid
Vaughan, ON
- Part-time
Previous specialty/apparel retail management experience preferably in a similar role with proven ability to lead teams to success and proven sales performance
Added 9 mins ago
WC
(CAN) Associé de jour, rénovation
Walmart Canada
Montreal, QC
- Full-time
Position Summary...A day remodel associate works with the Remodel Lead and Day Remodel Manager to establish standards in newly renovated departments. They complete modulars, assist…
Added 9 mins ago
WC
(CAN) Associé de nuit, rénovation
Walmart Canada
Montreal, QC
- Contract
Build new counters using kit sheets provided by the Warehouse Associates as per the print provided by the Lead Specialist.
Added 9 mins ago
FC
CAN Driver
FedEx Canada
St. John's, NL · Greater St. John's Metropolitan Area
- Part-time
Must possess a valid driver’s license and have a good driving record
Added 9 mins ago
WC
(CAN) Front End Checkout Team Associate
Walmart Canada
Brandon, MB
- Full-time
Refers appropriate service and transactional items to a Customer Service Manager or Front End Team Lead.
Added 9 mins ago
WC
(CAN) Gérant du service à la clientèle
Walmart Canada
Montreal, QC
- Full-time
…skills in a fast paced retail environment. In this role, you lead front end operations to deliver exceptional customer service, support a positive shopping experience, and drive customer…
Added 9 mins ago
DH
Executive Chef
Delta Hotels and Resorts®
Quebec, QC
- Full-time
Utilizes interpersonal and communication skills to lead, influence, and encourage others; advocates sound financial/business decision making; demonstrates honesty/integrity; leads by…
Added 9 mins ago
IC
Business Analyst – Credit Card Transformation
Infotek Consulting Inc.
Toronto, ON
- $60 to $71 CAD / hour
- Contract
Lead business and systems analysis activities across complex transformation initiatives.
Added 9 mins ago
CC
Operational Technology Specialist
Coca-Cola Canada Bottling Limited
Montreal, QC
- Full-time
Lead and assist OT network systems and IT operations at the production facility, ensuring timely resolution of technical issues and continuous improvement of operational performance.
Added 9 mins ago
IC
Business Analyst – Payments Modernization
Infotek Consulting Inc.
Toronto, ON
- $60 to $70 CAD / hour
- Contract
Lead end-to-end business requirements activities throughout the project lifecycle, ensuring alignment between business objectives, technology solutions, and operational needs.
Added 9 mins ago
M
Brand Manager
Metrie
Halton Hills, ON
- Full-time
This role is required to work in-branch 4 days per week
Added 9 mins ago
AC
Senior Underwriter and Team Leader
APRIL Canada Insurance
Toronto, ON
- Full-time
Lead the team’s daily work, allocate submissions and renewals, balance workloads and arrange coverage during absences.
Added 9 mins ago
WC
(CAN) Gérant du service à la clientèle
Walmart Canada
Sherbrooke, QC
- Full-time
…skills in a fast paced retail environment. In this role, you lead front end operations to deliver exceptional customer service, support a positive shopping experience, and drive customer…
Added 9 mins ago
E
Service Automation Technician
Epiroc
Vancouver, BC
- Full-time
Rotational shifts: 7 days on, 7 days off - 12 hour shifts OR 14 days on, 14 days off - 12 hour shifts
Added 9 mins ago
AE
Paid Search & Video Lead
Arc'teryx Equipment
North Vancouver, BC
- Full-time
As the Paid Search & Video Lead, you will partner with the Senior Manager, Performance Marketing to help lead the strategy and execution of paid search and video campaigns across…
Added 9 mins ago
L
Staff Technical Program Manager, Central
Lyft
Toronto, ON
- Full-time
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 9 mins ago
CR
Scientist I
Charles River Laboratories
Montreal, QC
- Full-time
Added 9 mins ago
VA
Veterinary Reception, Client Care, Guardian Veterinary Centre
VCA Animal Hospitals
AB · Edmonton, AB
- Full-time
…organizations whose head offices are located within the province and lead their industries in offering exceptional places to work. Additionally, we were selected as one of Canada's Top…
Added 9 mins ago
E
Service Automation Technician
Epiroc
AB · Edmonton, AB
- Full-time
Rotational shifts: 7 days on, 7 days off - 12 hour shifts OR 14 days on, 14 days off - 12 hour shifts
Added 9 mins ago
G
WPG - General Manager (WMS)
Gardewine
Winnipeg, MB
- Full-time
Working alongside the Moving & Storage (M&S) - Sales Manager to lead all advertising and marketing activities of the Brandon, Thunder Bay and Winnipeg branches
Added 9 mins ago
C
The Director, Design & Engineering
Comrise
Toronto, ON · Greater Toronto Area, Canada
- $150,000 to $200,000 CAD / year
- Full-time
Lead the general contractor selection and bidding process, including preparing and issuing RFPs, coordinating bid submissions, reviewing and evaluating bids, and recommending or selecting…

Autodesk

Principal Data Engineer, User Success (Agentic Experiences)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 23, 2026
Experience: 10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Posting language: English · French
Posted: Nov 7, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD98052

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
- that support LLMs and agentic workflows
- optimized for:
- - Retrieval (e.g., embeddings, vector search)
  - Contextual data access
  - Real-time and iterative feedback loops
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders.

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

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 $120,000 and $176,000 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 $120,000 et $176,000 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 #

26WD98052

Position Overview

At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.

The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform - we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.

As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.

This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.

Responsibilities

Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
- that support LLMs and agentic workflows
- optimized for:
- - Retrieval (e.g., embeddings, vector search)
  - Contextual data access
  - Real-time and iterative feedback loops
Partner with AI/ML teams to operationalize:
- Feature engineering and feature stores
- RAG-based systems and evaluation pipelines
Ensure data quality and observability meet the needs of AI-driven decision systems
Guide build vs. buy decisions for data tooling and platforms
Enable analysts and product teams with trusted, well-modeled datasets
Partner with stakeholders to translate product questions into measurable data signals
Improve instrumentation strategy to ensure high-quality behavioral data
Support self-service analytics and AI-assisted exploration
Collaborate across Product, Engineering, Data Science, Research and Design
Influence technical direction without direct authority
Drive alignment on data standards, governance, and best practices
Communicate complex technical concepts to both technical and non-technical audiences

Minimum Qualifications

10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
Experience with:
- LLM ecosystems, embeddings, vector databases
- Retrieval-augmented generation (RAG)
- Agent frameworks or orchestration systems
Experience with streaming technologies (Kafka, Flink, Spark Streaming)
Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
Experience with data governance, lineage, and cataloging systems
Exposure to product analytics and experimentation frameworks
Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
Strong communication skills with technical and non-technical stakeholders.

Preferred Qualifications

Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards

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 $120,000 and $176,000 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 $120,000 et $176,000 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

Architect and operate scalable batch and streaming data pipelines and AI-ready data products that support analytics, machine learning, retrieval-augmented generation, and agentic experiences. Partner across product, engineering, data science, research, and design to improve behavioral data, data quality, governance, self-service analytics, and technical standards.

Requirements

Requires 10 or more years of experience owning large-scale production data systems, with hands-on expertise in Python, Spark or PySpark, advanced SQL, streaming technologies, modern data platforms, and AWS services. Candidates should also bring experience with LLM and RAG systems, reliable ETL/ELT pipelines, data governance, and cross-functional technical leadership.

Skills

Python
Spark
PySpark
Advanced SQL
Data Engineering
Distributed Systems
Batch and Streaming Pipelines
LLM Ecosystems
Embeddings
Vector Databases
Retrieval-Augmented Generation
Kafka
Flink
AWS
Data Governance
Cross-Functional Leadership

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platform Engineering
Distributed Systems
Python
Spark
PySpark
Advanced SQL
Kafka
Flink
Spark Streaming
LLMs
Embeddings
Vector Databases
Retrieval-Augmented Generation
Agent Frameworks
Feature Engineering
Feature Stores
ETL/ELT
Airflow
dbt
AWS
EMR
Glue
S3
Snowflake
Iceberg
Product Telemetry
Behavioral Analytics
Data Governance
Data Quality

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Work requirements

Jobs in Canada