AI Data Engineer, Azure, Copilot Studio
GFT Technologies
full-time
Posted on:
Location Type: Hybrid
Location: Barueri • Brazil
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About the role
- Act as the technical reference for building agentic solutions combining data engineering on Azure and Copilot Studio;
- Design and develop data pipelines in Azure Data Factory and/or Databricks, preparing reliable datasets for consumption by AI agents;
- Build and evolve agents in Copilot Studio, including topics, actions, flows, connectors, and integrations with enterprise systems;
- Implement RAG patterns: source curation, chunking, embeddings, retrieval strategies, and governance of content used by agents;
- Integrate agents with enterprise data via APIs, connectors, and analytical layers (Lakehouse, SQL, semantic models), ensuring traceability of responses;
- Define and oversee observability standards: logs, telemetry, usage metrics, response quality, and end-to-end failure monitoring;
- Work with security and governance: access control, protection of sensitive data, auditing, and compliance with LGPD;
- Support the team in design reviews, pipeline and agent troubleshooting, performance optimization, and resolution of complex incidents.
Requirements
- Degree and solid experience as a Data Engineer on Azure;
- Experience with Copilot Studio (creating copilots, topics, actions, connectors, publishing and environment management);
- Experience with pipelines in Azure Data Factory and/or Databricks;
- Proficiency in Python and SQL for transformation and automation;
- Hands-on knowledge of RAG, embeddings, vectorization, and information retrieval strategies;
- Experience with integrations via REST APIs and enterprise connectors;
- Strong knowledge of security (RBAC, Key Vault, identities) and auditing/compliance practices;
- Experience with Git and CI/CD for versioning and promotion between environments.
Benefits
- Multi-benefit card – you choose how and where to use it.
- Study Grants for Undergraduate, Graduate, MBA, and Language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career plan.
- Opportunity for international career mobility.
- Wellhub and TotalPass.
- Private Pension Plan.
- Childcare Assistance.
- Health Insurance.
- Dental Insurance.
- Life Insurance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringAzureCopilot Studiodata pipelinesAzure Data FactoryDatabricksPythonSQLRAG patternsREST APIs
Soft Skills
troubleshootingperformance optimizationdesign reviewsproblem resolution
Certifications
degree in Data Engineering