AI Data Engineer
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLGitMicrosoft Power BICI/CDData modelingDatabricks
Requirements
- Strong experience in advanced SQL and data manipulation
- Solid background in data engineering, data warehousing, and lakehouse architectures
- Hands-on experience with Databricks and Python for data processing and engineering tasks
- Strong understanding of data modeling, governance, and data quality principles
- Experience with Git and collaborative version control workflows
- Knowledge of SDLC principles and modern software engineering practices
- Experience using AI tools for code generation, testing, debugging, and refactoring
- Familiarity with spec-driven development and AI-assisted engineering workflows
- Experience building or working with AI agents, multi-step workflows, or tool-using systems is a plus
- Knowledge of MCP (Model Context Protocol) or similar integration frameworks is a plus
- Experience integrating CI/CD pipelines, APIs, and observability tools is a plus
- Strong analytical thinking and ability to evaluate and validate AI-generated outputs critically
Responsibilities
- Develop data transformations and analytical models using modern data platforms such as Databricks, Azure Data Factory, Fabric, and Power BI
- Build and maintain layered data architectures (Bronze, Silver, Gold) and semantic models aligned with business needs
- Translate business requirements into scalable data models and define standardized corporate metrics
- Ensure data quality through testing frameworks, validation processes, and observability practices
- Support the creation of curated datasets for analytics, reporting, and AI agent consumption
- Operate within an AI-augmented SDLC, leveraging AI for coding, testing, debugging, and refactoring
- Design and maintain specifications that guide AI-driven development (spec-driven workflows)
- Build and orchestrate AI agents capable of multi-step reasoning, tool usage, and workflow execution
- Promote best practices in data modeling, governance, documentation, and version control
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