Senior Data Developer – Azure, Databricks

CI&T

. Develop and maintain data pipelines (ETL/ELT) in an Azure environment, using Databricks for processing and integration .

Posted 10/14/2026full-timeBrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data pipelines in Azure using Databricks, with a strong focus on data quality, governance, and cloud migration. Proficient in implementing CI/CD practices and collaborating with cross-functional teams to deploy AI models effectively.

Highest-signal resume keywords

Azure Data ServicesDatabricksPySparkCI/CD PracticesPython and SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELTData ModelingData ProfilingData IntegrationCloud MigrationAI Model DeploymentAnalytical Data ModelingVersion ControlData Governance

Tools & Technologies

GitHubAzure MLDatabricks MLflowUnity Catalog

Industry Keywords

Medallion ArchitectureMaster Data ManagementData LakeData WarehouseFinancial Sector

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Develop and maintain data pipelines (ETL/ELT) in an Azure environment, using Databricks for processing and integration
Understand the project holistically and assess the impact of individual solutions
Implement CI/CD practices to automate deployments and manage code versioning in GitHub
Model and evolve tables in Unity Catalog, applying best practices for naming conventions and schema versioning
Design and optimize data models to ensure scalability, performance, and governance
Support cloud migration projects, ensuring data security, quality, and integrity
Collaborate with business and data science teams to deploy AI models in a cloud environment
Ensure data quality and consistency through data profiling and monitoring
Document processes, architectures, and data engineering best practices

Requirements

What you’ll need

Strong experience with Azure Data Services and Databricks
Experience using Databricks with PySpark
Experience with the Medallion Architecture
Proficiency in Python and SQL for data manipulation and transformation
Knowledge of CI/CD and version control with GitHub
Knowledge of analytical data modeling, including ingestion, preparation, and consumption layers
Experience working on cloud migration projects
Experience with ETL/ELT and the integration of large volumes of data
Experience deploying AI models and using tools such as Azure ML
Experience with AI projects and pipeline automation
Preferred: knowledge of data-oriented architectures and data governance best practices
Preferred: experience working on projects in the financial sector
Preferred: participation in Master Data Management (MDM) initiatives
Preferred: familiarity with Databricks MLflow for model management
Preferred: experience working in Data Lake and Data Warehouse environments

Benefits

Comp & perks

Health and dental insurance
Meal and food allowances
Childcare assistance
Extended parental leave
Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
Profit Sharing and Results Sharing (PLR)
Life insurance
Continuous learning platform (CI&T University)
Discount club
Free online platform dedicated to promoting physical and mental health and well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
Support and accommodations for people with disabilities throughout the recruitment process
Assistance obtaining disability documentation
Dedicated Health and Well-being team
Inclusion specialists and affinity groups