Autodesk
From Autodesk's careers page
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This role works in Technical Advisory, at the intersection of data engineering, Autodesk technology, and technical consulting delivery.
Job Requisition ID #
26WD100418
Data Engineer with AI, Technical Advisory
Position overview
Autodesk is looking for a talented Data Engineer to design, prototype, automate, and enable data-ingestion and integration solutions, and scalable data pipelines, for customer-facing engagements.
This role works in Technical Advisory, at the intersection of data engineering, Autodesk technology, and technical consulting delivery. The successful candidate will build reusable tools and accelerators that streamline customer data flows, especially around Autodesk Datum, ACC, Forma, APS APIs, model-derived data, ETL processing, and modern cloud technologies.
The role requires someone who can move from ambiguous customer requirements to practical working prototypes, feasibility demos, technical documentation, and reusable implementation patterns. The Data Engineer will collaborate with Technical Advisory consultants, product teams, data engineers, solution architects, project managers, and customer stakeholders to validate feasibility, reduce delivery effort, and create repeatable service offerings.
What this role actually does
This is not a pure internal analytics-platform role. It is a consulting-oriented technical engineering role focused on customer data workflows, Autodesk platform integrations, and reusable service accelerators.
The role will also contribute to emerging AI-enabled Technical Advisory workflows, including MCP, LLM-powered data access, prompt engineering, and agentic automation. The Data Engineer will prototype secure integrations between AI agents and Autodesk/customer systems, design reusable prompts and pre-context for reliable outcomes, evaluate model behavior across technical workflows, and help turn successful AI experiments into repeatable consulting accelerators.
Main Responsibilities
Design, build, and support reusable ETL tools, prototypes, and accelerators for Technical Advisory and customer-facing engagements
Develop data-ingestion workflows, and data integrations for Autodesk Platforms and other modern engineering data sources
Create and maintain reusable code, ETL processing tools, and configuration patterns for model-data extraction, and data-standardization workflows
Support feasibility studies, demos, pilots, and proof-of-concept work for customer engagements, especially where requirements are unclear or the technical path needs validation
Build proof-of-concept MCP servers, API wrappers, and integration layers that allow AI agents to query, validate, transform, or reason over customer data
Design and prototype AI-enabled workflows that connect LLMs and agents with Autodesk platform data, customer data, and Technical Advisory delivery workflows
Build proof-of-concept MCP servers, API wrappers, and integration layers that allow AI agents to query, validate, transform, or reason over customer data
Collaborate with product, platform, security, and consulting teams to align AI/MCP deliveries with Autodesk strategy, policy, and customer-delivery standards
Translate customer and stakeholder needs into technical options, risks, assumptions, implementation plans, and demo-ready solutions
Perform system-readiness and integration validation, including checks around connectivity, authorization, operating-system compatibility, sandbox readiness, and platform configuration
Prepare technical documentation, configuration guidance, readiness summaries, data-source assessments, and reusable implementation notes for internal teams and customers
Identify technical risks early, communicate blockers clearly, document findings, and recommend practical next steps
Strong command of Polish, both written and spoken is a must
5+ years of data engineering, software engineering, or technical implementation experience involving data processing in cloud-based infrastructure, ETL, APIs, or cloud/platform integrations
Hands-on Python development experience
Strong SQL and data-modeling skills, and analytical data warehouses such as Snowflake
Understanding of data-engineering best practices for medium-to-large-scale production workloads
Experience designing and implementing ETL or ELT workflows, including data extraction, transformation, validation, mapping, and loading
Experience working with APIs, authentication flows, and system integrations
Ability to analyze ambiguous requirements, identify technical risks, and turn early-stage customer needs into working prototypes or feasibility demos
Strong written and verbal communication skills, with the ability to explain technical findings to other stakeholders
Service-oriented mindset and comfort working in consulting-style environments where timelines, scope, and technical clarity may change
Ability to document technical solutions, assumptions, constraints, and configuration steps clearly enough for reuse by other teams
Experience building reusable tools or accelerators for consulting delivery
Experience with desktop or lightweight web applications, including UI, authentication, and file-processing workflows
Experience with orchestration, automation, or CI/CD tooling such as Git, Jenkins, Terraform, or similar
REST API design and implementation experience
Experience with cloud services and serverless technologies
Experience with DBT, shell scripting, or similar tooling
Experience with AI/MCP concepts, especially where agents or conversational interfaces interact with engineering data or Autodesk APIs
Success profile
Take unclear customer or internal requests and quickly define a feasible technical path
Build working prototypes that demonstrate value, not just theoretical designs
Create reusable tools and patterns rather than one-off scripts
Balance engineering quality with consulting pragmatism
Communicate risks early and clearly
Collaborate across product, consulting, architecture, and delivery teams
Document enough for the work to become reusable by others
Think beyond one customer project and help turn successful prototypes into repeatable Technical Advisory services
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Learn More
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. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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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
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