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CI&T

AI Data Engineer – Mid/Senior

CI&T

AI Data Engineer creating reliable data products incorporating AI for impactful business solutions. Join a team transforming the potential of AI at CI&T.

Posted 7/3/2026full-timeCampinas • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
AzurePythonSDLCSQL

About the role

Key responsibilities & impact
  • Develop transformations and analytical models in Azure Databricks, ADF, Fabric and Power BI.
  • Build and maintain analytical layers (Bronze, Silver, Gold) and business-oriented Semantic Models.
  • Translate business rules into scalable data models; define, document and standardize corporate metrics.
  • Ensure data quality, testing and data observability.
  • Support the creation of datasets for Analytics and Agents.
  • Operate the SDLC with AI: code generation, testing, refactoring and AI-assisted debugging.
  • Structure specifications that feed AI (spec-driven development) and maintain quality control over outputs.
  • Build and orchestrate agents (multi-step, tool usage, planning + execution) integrated with repositories, pipelines and APIs.
  • Promote best practices in modeling, governance and documentation.

Requirements

What you’ll need
  • Advanced SQL
  • Data modeling, Data Warehousing / Lakehouse
  • Databricks and Python
  • Best practices for quality, governance and documentation
  • Versioning / GitHub
  • Spec-driven development (specification as the primary input for AI)
  • Strong command of the SDLC (design → build → test → deploy → operate)
  • Advanced use of AI in development (codegen, testing, refactor, debugging)
  • Building agents (multi-step, tool usage, planning + execution)
  • Creation of reusable skills and capability composition
  • Integration via MCP (Model Context Protocol) or equivalent
  • Creation of slash commands / operational interfaces based on structured prompts
  • Orchestration of workflows (multi-agent or human + agent)
  • Integration with tools (Git, CI/CD, issue tracking, observability)
  • Critical evaluation of AI outputs (quality, security, consistency)

Benefits

Comp & perks
  • Health and dental insurance
  • Food and meal allowances
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) and TotalPass
  • Profit Sharing (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenthood course
  • Partnerships with online course platforms
  • Language learning platform
  • And many more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data WarehousingData LakehousePythonQuality GovernanceSpec-Driven DevelopmentBuilding AgentsIntegration via MCPCreation of Slash CommandsOrchestration of WorkflowsCritical Evaluation of AI Outputs