[Job-30245] Senior AZURE Data Engineer/ Analyst, Brazil
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
CI&T is expanding its data practice to support a reference client in the Logistics sector, at a moment of strong investment in analytical modernization and data integration across on-premises and cloud environments. We are looking for a Senior Azure Data Engineer / Analyst to join the Platform Engineering team, playing a key role in building solutions that transform operational and business data into actionable intelligence.
In this role, you will combine deep technical expertise in data engineering with an analytics-driven mindset, developing robust pipelines on the Azure platform, modeling data for analytical consumption, and delivering dashboards that support strategic and operational decision-making. The ideal profile is a senior, self-driven, and collaborative professional, capable of working autonomously within distributed teams and serving as a technical reference for application and business teams.
Responsibilities
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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.
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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.
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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.
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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.
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Cloud Cost Management: Operate with cost awareness in managing cloud compute and storage resources, proposing optimizations that balance performance and efficiency.
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Technical Reference: Guide application and business teams on data usage and interpretation, proactively promoting best practices in data engineering, modeling, and BI tooling.
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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
- Advanced English (C1 or above), reading, writing, and spoken communication with onsite and offshore stakeholders independently
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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
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