Job Overview
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.
📍 Remote
🌎 Advanced English (C1 or above) - mandatory
About the Role
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
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