Principal Data Engineer -General application
2 Locations
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will improve our data and data pipeline architecture and optimizing data flow and collection for associated teams.
Create data pipeline architecture
Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies
From the employer’s posting
Position Overview We are looking for an experienced Principal Data Engineer to join our growing Global Delivery Team within the Enterprise Customer Success Department. You will improve our data and data pipeline architecture and optimizing data flow and collection for associated teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, data analysts and data scientists on data projects and will ensure data delivery architecture is consistent throughout ongoing projects. We support hybrid working schedule.
Responsibilities Create data pipeline architecture Assemble complex data sets that meet functional / non-functional requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies Build analytics tools that use the data pipeline to provide applicable insights into employee experience, operational efficiency and other main performance metrics
What you’ll bring
All qualificationsCore experience
- 5 + years of experience in Data Engineer role
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Preferred experience
- Familiarity with Agile and SCRUM methodologies
- Experience working with agile, globally distributed teams
- Experience working with PowerBI to develop dashboards
Qualification wording
5 + years of experience in Data Engineer role
Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Familiarity with Agile and SCRUM methodologies
Experience working with agile, globally distributed teams
Experience working with PowerBI to develop dashboards
Tools in this posting
- SQL
- AWS
- Power BI
- Python
- PostgreSQL
- Terraform
Source — Tool mentions in context
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability - Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies - Build analytics tools that use the data pipeline to provide applicable insights into employee experience, operational efficiency and other main performance metrics
- Strong command of English - Technical Skills -AWS (Batch, CloudFormation, IAM, Lambda, ECS, StepFunctions) -Terraform -Python -SQL -Relational databases (e.g., PostgreSQL) -API (RESTful) -BI Tools (QuickSight) Preferred Qualifications
- Build processes supporting data transformation, data structures, metadata, dependency and workload management - Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers (such as AWS) and find ways to apply them back help their team - Work with data scientists and analysts to work toward greater functionality in our data systems
- Familiarity with Agile and SCRUM methodologies - Experience working with PowerBI to develop dashboards - Analytical skills related to working with unstructured datasets
Job description
Job Requisition ID #
Principal data engineer
Position Overview
We are looking for an experienced Principal Data Engineer to join our growing Global Delivery Team within the Enterprise Customer Success Department. You will improve our data and data pipeline architecture and optimizing data flow and collection for associated teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, data analysts and data scientists on data projects and will ensure data delivery architecture is consistent throughout ongoing projects.
We support hybrid working schedule.
Responsibilities
Create data pipeline architecture
Assemble complex data sets that meet functional / non-functional requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for extraction, transformation, and loading of data from different data sources using SQL and AWS 'big data' technologies
Build analytics tools that use the data pipeline to provide applicable insights into employee experience, operational efficiency and other main performance metrics
Work with team members to assist with data-related technical issues and support associated data infrastructure needs
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Keep up to date with the latest and greatest in feature-sets and capabilities from public cloud providers (such as AWS) and find ways to apply them back help their team
Work with data scientists and analysts to work toward greater functionality in our data systems
Minimum Qualifications
5 + years of experience in Data Engineer role
Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Strong command of English
Technical Skills
-AWS (Batch, CloudFormation, IAM, Lambda, ECS, StepFunctions)
-Terraform
-Python
-SQL
-Relational databases (e.g., PostgreSQL)
-API (RESTful)
-BI Tools (QuickSight)
Preferred Qualifications
Familiarity with Agile and SCRUM methodologies
Experience working with PowerBI to develop dashboards
Analytical skills related to working with unstructured datasets
A successful history of processing value from large, disconnected datasets
Experience working with agile, globally distributed teams
Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing
Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts
Analyse and iterate on performance metrics and user feedback to ensure high-quality outputs
Conduct experiments and research to test and optimize existing workflows
Stay up to date on the latest advancements in natural language processing (NLP) and AI, and apply those insights to your work
Document and communicate your work clearly and concisely to technical and non-technical audiences
You should apply even if you don't feel that your credentials 100% match the position description - we are looking for relevant skills and attributes, not a checklist of experience that exactly matches the position itself.
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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 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 – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales
Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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Source & posting history
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- Location & working pattern
2 Locations
We are looking for an experienced Principal Data Engineer to join our growing Global Delivery Team within the Enterprise Customer Success Department. You will improve our data and data pipeline architecture and optimizing data flow and collection for associated teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, data analysts and data scientists on data projects and will ensure data delivery architecture is consistent throughout ongoing projects. We support hybrid working schedule. Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 20, 2026
- Recorded sightings
- 174
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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