AI Data Engineer

New

Brazil / Campinas, SPFull-TimeMiddle

Salary not disclosed

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Job Details

Advanced SQL proficiency.
Solid experience in data modeling, Data Warehousing, and Lakehouse architectures.
Proficiency in Databricks and Python.
Knowledge of data quality, governance, and documentation best practices.
Experience with version control systems like GitHub.
Proficiency in spec-driven development using AI as the primary input.
Solid understanding of the end-to-end SDLC.
Advanced ability to use AI for codegen, testing, refactoring, and debugging.
Capability to build and compose multi-step AI agents and reusable skills.
Experience with Model Context Protocol (MCP) or equivalent integrations.
Ability to create structured prompt-based operational interfaces and slash-commands.
Experience in orchestrating human-agent or multi-agent workflows.
Ability to integrate with tools like CI/CD, issue tracking, and observability systems.
Skill in evaluating AI outputs for quality, security, and consistency.

Develop transformations and analytical models using 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 while documenting and standardizing corporate metrics.
Ensure data quality, testing, and observability.
Support the construction of datasets for Analytics and Agents.
Operate the SDLC with AI for coding, testing, refactoring, and debugging.
Structure specifications for spec-driven development and maintain quality control over outputs.
Build and orchestrate multi-step, tool-using, and planning-capable agents integrated with repositories, pipelines, and APIs.
Promote best practices in modeling, governance, and documentation.

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