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Added 15 mins ago
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Senior Data Engineering
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Toronto, ON
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Added 15 mins ago
A
Senior Data Engineering
Autodesk
Toronto, ON
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Autodesk

Senior Data Engineering

Toronto, ON, Canada

Full-time

Apply 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 About employer

More about this job

Responsibilities

Build, maintain, test, and optimize data pipelines and processing frameworks that deliver trusted, high-quality data to Snowflake or Hive warehouses. Partner with analysts and stakeholders to develop scalable analytics datasets, automate workflows, support reporting and data consumers, and evaluate technologies that advance the data strategy.

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 and its utilities, Python and SQL, workflow and transformation tools such as Airflow and DBT, Git, and big data technologies such as Hive, Spark, and Presto.

Skills

Data Engineering
Python
SQL
Snowflake
DBT
Airflow
Data Pipelines
ETL
Data Quality
Data Transformation
Hive
Spark
Presto
Git
CI/CD
AWS

Benefits

Annual Cash Bonuses
Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

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

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