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Team: IT
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Data Engineer Mid/Senior based in Brazil.
This role sits at the intersection of advanced data engineering and AI-native development, focusing on building reliable, scalable, and intelligent data products that power business decisions and AI-driven applications. You will work in a highly modern environment where AI is embedded directly into the software development lifecycle, not just as an add-on. The position involves designing and maintaining robust data architectures, implementing analytical models, and enabling trusted datasets for analytics and AI agents. You will contribute to end-to-end data workflows across lakehouse architectures while ensuring governance, quality, and observability. A key aspect of the role is leveraging AI to accelerate engineering tasks such as coding, testing, debugging, and refactoring. This is a collaborative and innovation-driven environment where data, AI, and software engineering converge to deliver real business impact.
Accountabilities:
- 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
- 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
- Ability to work in collaborative, fast-paced, and innovation-driven environments
- Health and dental insurance coverage
- Meal and food allowance (vale alimentação e refeição)
- Childcare assistance
- Extended parental leave policies
- Wellhub (Gympass) and TotalPass partnerships for health and fitness
- Profit sharing (PLR) program
- Life insurance coverage
- Continuous learning platform access (CI&T University)
- Discounts and partnerships with education and lifestyle platforms
- Online wellbeing platform supporting physical and mental health
- Language learning platforms and professional courses
- Additional wellness, development, and corporate benefits.
Requirements:
Benefits:
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