Data Engineer with AI

Autodesk
Krakow
Full timePLN 183,000 - 268,400Function: Data Science & Machine LearningSkills: ["Communication","Risk management","Problem-solving","Documentation","Service-oriented mindset"]

Design and prototype secure, reusable data-ingestion and integration solutions for customer-facing Technical Advisory engagements. Build scalable ETL/ELT pipelines and data-standardization workflows using Autodesk platform APIs and cloud-based infrastructures, then create MCP servers, API wrappers, and AI-enabled workflows that connect LLMs/agents to customer and Autodesk data. Collaborate across product, platform, security, and consulting teams to validate feasibility, deliver demos/pilots, and produce documentation and repeatable service accelerators.

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FursaFursa
Autodesk
Autodesk
7 hours ago

Data Engineer with AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and prototype secure, reusable data-ingestion and integration solutions for customer-facing Technical Advisory engagements. Build scalable ETL/ELT pipelines and data-standardization workflows using Autodesk platform APIs and cloud-based infrastructures, then create MCP servers, API wrappers, and AI-enabled workflows that connect LLMs/agents to customer and Autodesk data. Collaborate across product, platform, security, and consulting teams to validate feasibility, deliver demos/pilots, and produce documentation and repeatable service accelerators.
Location: Krakow
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and support reusable ETL tools, prototypes, and accelerators for Technical Advisory and customer engagements.
  • •Develop data-ingestion workflows and integrations for Autodesk platforms and modern engineering data sources.
  • •Create reusable code and processing/configuration patterns for model-data extraction, data-standardization, and transformation pipelines.
  • •Build proof-of-concept MCP servers, API wrappers, and integration layers that enable AI agents to query, validate, transform, or reason over customer data.
  • •Translate customer/stakeholder needs into technical options, risks, assumptions, and demo-ready solutions, including feasibility validation and integration readiness checks.

Pay and Benefits

Salary: PLN 183,000 - 268,400
Equity and Bonus:Equity
Perks:Annual BonusEquity

Key Requirements

  • •5+ years of data engineering, software engineering, or technical implementation experience with data processing in cloud infrastructure, ETL, APIs, or cloud/platform integrations.
  • •Hands-on Python development experience.
  • •Strong SQL and data-modeling skills, including analytical data warehouses such as Snowflake.
  • •Experience designing and implementing ETL or ELT workflows (extraction, transformation, validation, mapping, and loading).
  • •Experience working with APIs, authentication flows, and system integrations, plus the ability to translate ambiguous requirements into prototypes or feasibility demos.
Skills:CommunicationRisk managementProblem-solvingDocumentationService-oriented mindset
Tech Stack:PythonSQLSnowflakeETLELTAPIsREST APIAuthenticationMCPLLMLLM-powered data accessPrompt engineeringAgentic automationGitJenkinsTerraformCI/CDDbtShell scriptingServerless

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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