Data & AI Engineer

Aevium

Data & AI Engineer developing scalable data pipelines and supporting AI solutions at Aevium, a technology consultancy. Enabling data-driven decisions and automation.

Posted 7/31/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable data pipelines and transforming data for analytics and AI applications. Proficient in utilizing cloud-based platforms and tools like Power BI to deliver actionable insights and ensure data quality.

Highest-signal resume keywords

Python For Data EngineeringSQL For Data ManipulationDatabricks For Data ProcessingAzure Data Factory For Pipeline IntegrationPower BI For Dashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData TransformationETL/ELT Pipeline BuildingData ModelingMachine Learning Knowledge

Soft Skills

CollaborationStrategic Insight Generation

Tools & Technologies

Power BIAzure Data FactoryDatabricksMicrosoft AzureGit

Industry Keywords

Data QualityData GovernanceAutomationOptimizationAI Applications

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Develop and maintain scalable, efficient data pipelines
Structure and transform data to support Analytics, AI, and decision-making
Build processes for ingestion, cleansing, and integration of data from multiple sources
Build solutions using modern cloud-based data engineering platforms
Support the development of Machine Learning models and AI-based solutions
Develop dashboards and KPIs in Power BI to support decision-making
Ensure data quality, governance, and availability
Collaborate with cross-functional teams to turn data into strategic insights
Identify opportunities for automation and optimization using data and AI

Requirements

What you’ll need

Strong experience in Python for data engineering and data processing
Advanced knowledge of SQL for data manipulation, modeling, and query optimization
Experience with Databricks for data processing and engineering
Hands-on experience with Azure Data Factory for pipeline integration and orchestration
Experience in data modeling and building ETL/ELT pipelines
Knowledge of Machine Learning and practical AI applications
Experience with cloud environments (preferably Microsoft Azure) and version control with Git
Experience with Power BI for developing dashboards and KPIs

Benefits

Comp & perks

20 days of paid scheduled leave per year so you can rest, travel, or enjoy important moments with peace of mind
TotalPass, with access to gyms, nutritionists, and psychologists to support your physical and mental well-being