Data Engineer with AI

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

Minimum qualifications

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

Preferred qualifications

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

A strong person in this role is someone who can:

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

#LI-IS1

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 – 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 Poland based roles, we expect a starting base salary between 183,000 PLN and 268,400 PLN. 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.

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

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.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).