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

• 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

• 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