Data Engineer, AI

Cadastra

Engenheiro(a) de Dados & IA developing architectural solutions and frameworks for client growth. Collaborating across teams to enhance data and AI product value.

Posted 7/3/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Propose and build: Design modern architectural solutions (focus on Data Lakehouse) and rapidly test new technologies.
Develop: Create efficient data processes and pipelines (ETL/ELT) using industry best practices.
Automate and Orchestrate: Implement automations in Cloud environments (GCP, AWS, or Azure), ensuring high performance, security, and data governance.
Operate with a Product Mindset: Ensure the data platform is scalable, flexible, and oriented to serve business areas with structured data and AI models.
Facilitate and Translate: Act as a bridge between technical and business teams, translating complex engineering and AI concepts for stakeholders in a clear and educational manner.
Collaborate: Support colleagues and teams in adopting industry best practices, serving as a technical reference.

Requirements

What you’ll need

Strong Python skills: Essential for developing Data Engineering and AI solutions.
Data Architecture: Solid experience with modern architectures, particularly Data Lakehouse.
Cloud Computing: Hands-on experience with cloud platforms (AWS, Azure, or GCP), focusing on managed data and AI services.
Orchestration and Pipelines: Experience with data orchestration tools (preferably Airflow).
Data Handling: Strong SQL skills and experience with ETL/ELT processes (data extraction via APIs, cleansing, deduplication, aggregation, and anonymization).
Best Practices: Experience with CI/CD (GitHub Actions / Cloud Build) and experience working in agile projects.
Autonomy and Proactivity (Builder): Hands-on, curious, and independent profile, able to propose solutions and validate hypotheses quickly.
Product Mindset: Ability to understand that the goal of engineering is not only the data but the product (data/AI) that addresses and solves other areas' needs.
Communication and Collaboration: Excellent communication skills to translate the "alphabet soup" of AI engineering for business teams, ensuring alignment and engagement.

Benefits

Comp & perks

Meal and food allowance on FLASH card 🥗
Home office stipend on FLASH card 💳
Health insurance 🩺
Dental insurance 🦷
Birthday day off + an amount credited to the FLASH card 🎉
Extended maternity and paternity leave 🍼
Profit sharing (PLR) 💰
Life insurance 🧡
Childcare assistance 👶
Referral bonus 💰
Transport voucher 🚍
Clude | Health platform 🩺
TotalPass (fitness/wellness) 🏋🏽‍♀️

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Python ProgrammingSQL SkillsData Lakehouse ArchitectureETL/ELT ProcessesData Orchestration (Airflow)CI/CD (GitHub Actions, Cloud Build)Data GovernanceData Extraction via APIsData CleansingData Aggregation

Soft Skills

Communication SkillsCollaborationProactivityAutonomyProduct Mindset