Autodesk

2 weeks ago

Associate Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Modernize a Technology Vendor Management platform by building governed data capabilities that unify vendor profiles, products, usage instances, contracts, spend, renewals, privacy/security status, and AI insights. Architect solutions and develop data pipelines, APIs, connectors, and integrations, including document intelligence for contracts and supplier documents. Create data quality checks, dashboards (Supplier 360, renewal readiness, spend and risk), and prototypes for vendor management copilots and AI agent workflows.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement modernization for the vendor management platform solution.
•Build and improve data pipelines, APIs, connectors, and integrations across vendor management systems.
•Combine data from Snowflake, OneTrust, Dun & Bradstreet, contract/CLM systems, procurement, finance/AP, security/risk platforms, AI governance sources, and legacy data.
•Design a VIP data model covering vendors, products, usage instances, contracts, renewals, spend, privacy/security status, AI usage, and SLA reporting context.
•Build data quality checks and dashboards, and support AI agents and document intelligence to generate vendor risk and renewal readiness insights.

Key Requirements

•3–5+ years of experience in data engineering, analytics engineering, AI-enabled automation, systems integration, business systems, or a related technical role.
•Strong Python skills for automation, scripting, data processing, API interaction, AI workflows, and data validation.
•Strong SQL experience with relational data, warehouse tables, curated views, and data quality logic.
•Experience with modern data platforms such as Snowflake or Databricks.
•Experience building dashboards or reporting solutions in Power BI, Tableau, Looker, or Mode, and working knowledge of generative AI/AI agents (including RAG and document intelligence).

Experience:3-5 years

Skills:Hands-on problem-solvingCommunicationCollaborationTroubleshootingDocumentation

Tech Stack:PythonSQLSnowflakeDatabricksOneTrustDun & BradstreetETLELTAPIsConnectorsIntegration jobsPower BITableauLookerModeCI/CDVersion controlTestingMonitoringSecure development

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: 3.9

Website LinkedIn Glassdoor

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Autodesk

2 weeks ago

Associate Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement modernization for the vendor management platform solution.
•Build and improve data pipelines, APIs, connectors, and integrations across vendor management systems.
•Combine data from Snowflake, OneTrust, Dun & Bradstreet, contract/CLM systems, procurement, finance/AP, security/risk platforms, AI governance sources, and legacy data.
•Design a VIP data model covering vendors, products, usage instances, contracts, renewals, spend, privacy/security status, AI usage, and SLA reporting context.
•Build data quality checks and dashboards, and support AI agents and document intelligence to generate vendor risk and renewal readiness insights.

Key Requirements

•3–5+ years of experience in data engineering, analytics engineering, AI-enabled automation, systems integration, business systems, or a related technical role.
•Strong Python skills for automation, scripting, data processing, API interaction, AI workflows, and data validation.
•Strong SQL experience with relational data, warehouse tables, curated views, and data quality logic.
•Experience with modern data platforms such as Snowflake or Databricks.
•Experience building dashboards or reporting solutions in Power BI, Tableau, Looker, or Mode, and working knowledge of generative AI/AI agents (including RAG and document intelligence).

Experience:3-5 years

Skills:Hands-on problem-solvingCommunicationCollaborationTroubleshootingDocumentation

Tech Stack:PythonSQLSnowflakeDatabricksOneTrustDun & BradstreetETLELTAPIsConnectorsIntegration jobsPower BITableauLookerModeCI/CDVersion controlTestingMonitoringSecure development

Company Brief

Autodesk

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: 3.9

Website LinkedIn Glassdoor