Mid Level Ai Data Engineer

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Develop data transformations and analytical models using Azure Databricks, Azure Data Factory, Microsoft Fabric, and Power BI.
• Build and maintain Bronze, Silver, and Gold analytical layers, as well as business-oriented semantic models.
• Translate business requirements into scalable data models and establish, document, and standardize corporate metrics.
• Ensure data quality, testing, observability, governance, and documentation across data products and pipelines.
• Support the creation of datasets designed for Analytics applications and AI-powered agents.
• Apply AI throughout the software development lifecycle, including code generation, testing, refactoring, debugging, and development automation.
• Create structured specifications for spec-driven development and critically review AI-generated outputs for quality, consistency, and security.
• Build and orchestrate AI agents capable of multi-step workflows, tool usage, planning, and execution.
• Develop reusable AI skills and compose capabilities across different workflows and use cases.
• Integrate AI-driven workflows with repositories, pipelines, APIs, Git, CI/CD, issue-tracking, and observability tools.
• Contribute to multi-agent and human-agent workflow orchestration while promoting strong engineering, modeling, governance, and documentation practices.

Requirements:

• Advanced knowledge of SQL and solid experience with data modeling, data warehousing, and/or lakehouse architectures.
• Hands-on experience with Databricks and Python for data engineering and analytical workloads.
• Experience developing reliable data solutions with strong practices around quality, governance, testing, observability, and documentation.
• Proficiency with GitHub and modern version-control practices.
• Solid understanding of the complete software development lifecycle, from design and development through testing, deployment, and operations.
• Practical experience using AI extensively throughout development, including code generation, testing, refactoring, and debugging.
• Strong understanding of spec-driven development, using structured specifications as a primary input for AI-assisted engineering.
• Experience building AI agents involving multi-step execution, tool usage, planning, and orchestration.
• Knowledge of reusable AI skills, capability composition, and structured prompt-based operational interfaces such as slash commands.
• Experience with MCP (Model Context Protocol) or equivalent approaches for integrating AI systems with tools and data.
• Familiarity with workflow orchestration involving multiple agents and/or human-agent collaboration.
• Ability to critically evaluate AI-generated outputs with a focus on quality, security, consistency, and business requirements.
• Strong analytical thinking, attention to detail, collaboration skills, and the ability to work effectively in a modern, fast-paced engineering environment.

Benefits:

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Access to fitness, health, and wellness partnerships through Wellhub/TotalPass.
• Profit-sharing program (PLR).
• Life insurance.
• Continuous learning opportunities through an internal learning platform.
• Discount club and partner benefits.
• Free online platform focused on physical health, mental health, and overall well-being.
• Pregnancy and responsible-parenthood support programs.
• Partnerships with online learning platforms.
• Language-learning platform and development opportunities.
• Additional benefits and professional development initiatives.