Senior Data Engineering

Autodesk, Inc.; Toronto; On-site; CAD 100,000 - 146,000; Full time

Job summary

Autodesk, Inc. in Toronto is seeking an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing systems.

The role focuses on building new pipelines, creating scalable frameworks, and delivering accurate data to stakeholders to enable data-driven decisions. You will collaborate with cross-functional teams, enhance data quality, and explore AI tooling to accelerate development while aligning

Qualifications

• Bachelor's degree in computer science, information systems, or a related discipline.
• 5+ years in the Data Engineer role.
• Experience building data transformation pipelines and data quality workflows.
• Hands-on Snowflake, Snow SQL, Snow Pipe experience and cost optimization.
• Strong Python and SQL coding skills; modular, maintainable code.
• Experience with Airflow for workflow scheduling.
• Experience with DBT for data transformation.
• Familiar with Git and GitHub workflows.
• Knowledge of big data stack: Hive, Spark, Presto.
• Strong analytical, problem solving and interpersonal skills.
• Familiar with Scrum; willingness to work flexible European hours.

Responsibilities

• Maintain and develop data pipelines for extraction, transformation, cleaning, pre-processing, aggregation and loading into Snowflake or Hive.
• Design, test and maintain data pipelines/new features based on stakeholder requirements.
• Develop/maintain scalable, quality datasets with data analysts.
• Optimize/maintain workflows and scripts on present data warehouses.
• Design/develop/maintain components of data processing frameworks.
• Use LLMs and AI tools like Copilot for development purposes.
• Build and maintain data quality and durability tracking mechanisms.
• Translate technical designs into business representations and analyze needs to ensure alignment with strategy.
• Focus on automation, CI/CD, and self-service modules for data domains.
• Address questions from downstream data consumers through appropriate channels.
• Create data tools for analytics and BI teams supporting product innovation.
• Stay current with data engineering best practices and technologies.

Skills

Python

SQL

ETL design

CI/CD

LLMs for data engineering

Education

Bachelor's degree in computer science, information systems, or a related discipline

Tools

Snowflake

DBT

Airflow

Spark

Hive

Presto

Git

Copilot

GitHub

Power BI

Job description

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 presentETL
• 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 industryleader
• 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 relateddiscipline
• 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 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 our 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!

Salary transparency

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. 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.

Belonging

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

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