AI Data Engineer (Azure + Copilot Studio) developing data pipelines and AI agent solutions. Involves working with Azure Data Factory, Copilot Studio, and data integration in a hybrid role.
Responsibilities
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.
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