Senior Data Developer

CI&T

Engenheiro(a) de Dados na CI&T, empresa de soluções de IA e transformação tecnológica. Desenvolvendo pipelines Azure/Databricks, modelos de dados e deploys de IA com governança.

Posted 8/11/2026full-time🇧🇷 BrazilSeniorWebsite

Core Competencies

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Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines in Azure environments, utilizing Databricks and Python for data manipulation and transformation. Proficient in implementing CI/CD practices and ensuring data quality and governance throughout cloud migration projects.

Highest-signal resume keywords

Azure Data ServicesDatabricksETL/ELTPythonSQL

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Hard Skills

Data Pipeline DevelopmentData ModelingData IntegrationData ProfilingData GovernanceMachine Learning Operations (MLOps)CI/CD PracticesVersion ControlData ManipulationCloud Migration

Soft Skills

CollaborationDocumentation

Tools & Technologies

DatabricksAzure MLGitHubMongoDBPySpark

Industry Keywords

Medallion ArchitectureMaster Data Management (MDM)Data LakeData WarehouseData-Oriented Architectures

Tech Stack

Tools & technologies

AzureCloudETLMongoDBPySparkPythonSQL

About the role

Key responsibilities & impact

Develop and maintain data pipelines (ETL/ELT) in an Azure environment, using Databricks for processing and integration
Perform queries, integrations, and data manipulation in relational and non-relational environments, including SQL and MongoDB
Understand the project as a whole and the impacts of point solutions
Implement CI/CD practices to automate deployments and manage code versioning in GitHub
Design and optimize data models for scalability, performance, and governance
Support cloud migration projects, ensuring data security, quality, and integrity
Collaborate with business teams and data science to deploy AI models in cloud environments
Ensure data quality and consistency through data profiling and monitoring
Document processes, architectures, and data engineering best practices
Ensure the integrity, consistency, and efficiency of data models by conducting structural reviews, defining standards, and enforcing governance

Requirements

What you’ll need

Strong experience with Azure Data Services and Databricks
Experience with Databricks and PySpark
Experience with medallion architecture
Productization of Machine Learning models on Databricks (MLOps)
Proficiency in Python and SQL for data manipulation and transformation
Knowledge of CI/CD and version control with GitHub
Experience in conceptual, logical, and physical data modeling
Experience in cloud migration projects
Experience with ETL/ELT and integrating large volumes of data
Experience deploying AI models and using tools such as Azure ML
Experience with AI projects and automation of pipelines
MongoDB
Nice to have: relevant knowledge or experience with SAS
Nice to have: understanding of data-oriented architectures and governance best practices
Nice to have: involvement in Master Data Management (MDM) initiatives
Nice to have: familiarity with Databricks MLflow for model management
Nice to have: experience working in Data Lake and Data Warehouse environments

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended parental leave
Partnerships with gyms and health & wellness professionals via Wellhub (Gympass) TotalPass
Profit Sharing (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to physical, mental health and wellness
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform