Principal Data Engineer
EMEA - Poland - Kraków - Lubomirskiego
Applications have closed
Autodesk
Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.Job Requisition ID #
24WD82007Position Overview
The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world
We are looking for an experienced Principal Data Engineer/ Prompt 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.
You will report to Senior Manager.
We support hybrid working schedule.
Main 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 Azure) 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
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
Experience with scripting languages such as Python and Scala
Experience with big data tools such as PySpark
Experience with relational SQL databases
Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, RDS, or Redshift
Experience working with APIs to pull and push data
Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases
Experience optimizing 'big data' data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Preferred Qualifications
Experience working with AWS CloudFormation templates
Experience working with NoSQL databases, including Postgres and AWS DynamoDB
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 prompts based on performance metrics and user feedback to ensure high-quality outputs
Conduct experiments and research to test new prompting techniques and optimize existing workflows
Stay up to date on the latest advancements in national 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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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.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
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure Big Data CloudFormation Computer Science Data pipelines DynamoDB EC2 Engineering Lambda NLP NoSQL Pipelines PostgreSQL Power BI Prompt engineering PySpark Python RDBMS Redshift Research Scala Scrum SQL Statistics
Perks/benefits: Competitive pay
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