Senior Data Engineering

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

Job summary

Autodesk is seeking an analytics/data engineer to transform and maintain architectures for enterprise analytics pipelines. You will build and optimize pipelines for Snowflake/Hive, Python/SQL, and self-serve analytics, while enabling data-driven decision making across cross-functional teams.

You will collaborate with data analysts to deliver scalable, quality data assets, explore AI-assisted development, and implement CI/CD and automation across data domains.

Qualifications

• Bachelor's degree in computer science, information systems, or related discipline.
• 5+ years in the Data Engineer role.
• Experience with data transformation, metadata, data quality, and workload management.
• Hands-on Snowflake experience plus cost optimization.
• Proficient in Python & SQL; knowledge of GitHub & Copilot.

Responsibilities

• Maintain and develop data pipelines for extraction, transformation, cleaning, and loading into Snowflake/Hive.
• Design, test, and maintain pipelines and features per stakeholder needs.
• Create scalable, quality data blocks in collaboration with analysts.
• Optimize workflows and ETL scripts on data warehouses.
• Develop data processing framework components.
• Leverage LLMs/AI tools for development tasks.
• Build data quality and durability tracking across ingestion.
• Translate technical designs into business representations and align with strategy.
• Focus on automation, CI/CD, and self-service modules for data domains.
• Address data consumer questions through appropriate channels.
• Create analytics/BI data tools to enable product leadership.
• Stay current with data engineering practices and technologies.

Skills

Python

SQL

Snowflake

DBT

Airflow

Git

Copilot/LLMs

ETL

Data pipelines

CI/CD

Education

Bachelor's degree in CS/IS/related

Tools

Snowflake utilities

SnowSQL

Snowpipe

Hive

Spark

Presto

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 workloadmanagement

• 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

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!

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.