Data Engineer – Mid-Level

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. Support the development squad with data-related deliveries, participating in story refinement and assessing impacts on database structures and the Data Warehouse .

Posted 11/3/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, focusing on SQL development, data modeling, and pipeline optimization within Azure environments. Proficient in ensuring data quality and integrity while collaborating effectively across teams.

Highest-signal resume keywords

Data EngineeringSQL DevelopmentAzure Data FactoryPython for Data ProcessingData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingETL/ELT ProcessesData TransformationData Quality ValidationData WarehousesData MartsData IntegrationArtificial Intelligence ToolsContinuous Integration (CI/CD)

Soft Skills

Strong CommunicationOrganizational SkillsAutonomyCollaboration

Tools & Technologies

Azure SQLPostgreSQLAzure DevOpsAzure Data FactoryMonitoring Tools

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Data EngineeringData OrchestrationCloud EnvironmentsInfrastructure as Code (IaC)Streaming Data Processing

Tech Stack

Tools & technologies

AzureETLPostgresPythonSQL

About the role

Key responsibilities & impact

Support the development squad with data-related deliveries, participating in story refinement and assessing impacts on database structures and the Data Warehouse
Propose, develop, and review data models and transactional table structures, ensuring normalization, integrity, and consistency
Develop, review, and optimize SQL scripts, queries, and procedures in Azure SQL and PostgreSQL
Develop and maintain data ingestion and transformation pipelines and processes using Azure Data Factory and Python
Ensure pipeline scheduling, monitoring, and failure handling
Track the impact of changes to transactional systems on the Data Warehouse and Data Marts, carrying out or supporting load adjustments
Implement and execute data quality, integrity, and consistency validations
Monitor query and load performance, identifying opportunities for improvement and anticipating issues
Document technical changes and deliveries, created structures, modified fields, executed scripts, and modeling decisions
Support the technical review and validation of modeling and data-load deliveries performed by external partners
Handle internal requests related to queries, data extractions, and clarifications regarding information in databases
Use Artificial Intelligence tools to accelerate development, documentation, and impact analysis, critically validating the results
Version deliveries and track activities and requests through Azure DevOps

Requirements

What you’ll need

Professional experience in Data Engineering and pipeline development
Solid knowledge of SQL and relational databases
Experience with Azure SQL and/or PostgreSQL
Knowledge of Python for data processing and manipulation
Experience with ETL/ELT, data integration, and data transformation processes
Knowledge of data modeling, Data Warehouses, and Data Marts
Familiarity with data orchestration and integration tools, especially Azure Data Factory
Knowledge of data quality, integrity, and performance best practices
Familiarity with code version control and activity management tools such as Azure DevOps
Strong communication and organizational skills, autonomy, and the ability to collaborate with different teams
Preferred: experience with data architecture and processing in cloud environments, especially Microsoft Azure
Preferred: knowledge of monitoring, observability, and data testing tools
Preferred: experience with continuous integration (CI/CD) and infrastructure as code (IaC)
Preferred: knowledge of streaming and real-time data processing technologies
Preferred: experience using Artificial Intelligence applied to development and Data Engineering
Bachelor's degree

Benefits

Comp & perks

Meal and food allowance (Caju), including during vacation
Transportation allowance
Mobility allowance
Childcare assistance for children up to 6 years old
Life insurance
Health insurance with full coverage and copayment, including free online therapy
Comprehensive dental insurance
Wellhub
Wellz
Extended 20-day paternity leave
Work from home for mothers until the baby is 1 year old
Birthday Gift Day
PDL – Leadership Development Program
Continuous feedback culture
Autonomy with accountability
Collaborative and relaxed environment
Papo Giga: diversity, inclusion, and work-life balance workshops
Salary advance
Flexible working hours
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