AI-Driven Data Engineer for Technical Advisory

Merantix; Kraków; On-site; PLN 183,000 - 268,000; Full time

Job summary

Autodesk is seeking a Data Engineer to design, prototype, automate, and enable data ingestion and integration solutions for customer engagements. The role sits in Technical Advisory, bridging data engineering, Autodesk technology, and consulting delivery.

The Data Engineer will build reusable tools and accelerators for data flows across Autodesk platforms and cloud services, turning ambiguous requirements into feasible prototypes and repeatable service offerings for clients.

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.

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.
• 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.

Skills

Years of data engineering experience

Python development

SQL and data modeling

ETL/ELT design

APIs and system integrations

Cloud data platforms

Job description

Autodesk is seeking a Data Engineer to design, prototype, automate, and enable data ingestion and integration solutions for customer engagements. The role sits in Technical Advisory, bridging data engineering, Autodesk technology, and consulting delivery.

The Data Engineer will build reusable tools and accelerators for data flows across Autodesk platforms and cloud services, turning ambiguous requirements into feasible prototypes and repeatable service offerings for clients.