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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 #LI_LL1
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
