Senior AZURE Data Engineer/Analyst

CI&T

Senior Azure Data Engineer/Analyst at CI&T transforming data into actionable insights. Collaborating within Agile teams to deliver innovative solutions for the logistics industry.

Posted 7/2/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLSQLTableau

About the role

Key responsibilities & impact

Azure Data Engineering: Design and maintain data pipelines and solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake, ensuring end-to-end reliability, scalability, and performance.
Analytics & Visualization: Build dashboards and analytical reports in Power BI and Tableau, translating infrastructure metrics, application performance data, and business KPIs into concrete, actionable recommendations.
Data Modeling & Integration: Develop data modeling, data mining, and integration processes across on-premises and cloud sources, creating reliable datasets to support analytical models and dashboards.
Queries & Large-Scale Processing: Write complex SQL and Kusto queries, as well as scripts and REST API calls for large-scale data collection and processing.
Cloud Cost Management: Operate with cost awareness in managing cloud compute and storage resources, proposing optimizations that balance performance and efficiency.
Technical Reference: Guide application and business teams on data usage and interpretation, proactively promoting best practices in data engineering, modeling, and BI tooling.
Agile Collaboration: Work within Agile/Scrum methodologies using project management tools such as Jira, with the ability to prioritize deliverables and manage tasks autonomously across onsite and offshore teams.

Requirements

What you’ll need

Advanced English (C1 or above), reading, writing, and spoken communication with onsite and offshore stakeholders independently
IT experience, with experience in Business Intelligence, Data Engineering, or Analytics
Strong command of the Azure platform, specifically Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake
Proven experience building analytical models and dashboards in Power BI and Tableau
Excellent proficiency in complex SQL and Kusto queries
Experience with Agile/Scrum methodologies and project management tools such as Jira
Strong analytical mindset and results-oriented profile, with the ability to correlate complex metrics and communicate business impact to both technical and non-technical audiences
Nice to Have
Experience with ETL tools, especially Talend and Azure Data Factory
Knowledge of data modeling with Native HANA, TDV, or advanced SQL Scripting
Familiarity with Microsoft Fabric
BI or Azure cloud certifications, especially Azure PL-300
Domain knowledge in Logistics and SAP

Benefits

Comp & perks

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
Profit Sharing and Results Participation (PLR);
Life insurance
Continuous learning platform (CI&T University);
Discount club
Free online platform dedicated to physical, mental, and overall well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
And many more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringData ModelingData IntegrationAnalytical ReportingETL ToolsKusto QueriesREST API CallsData MiningCloud Cost ManagementAzure Databricks

Soft Skills

Analytical MindsetResults-OrientedCommunication SkillsCollaborationTask Management

Certifications

Azure PL-300