Ciandt

At CI&amp;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 &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;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.<div> </div>O Data Strategist é uma posição de liderança sênior responsável por desenvolver e executar a estratégia de dados da organização em alinhamento com os objetivos do negócio. Esta posição faz a ponte entre as necessidades de negócio e as capacidades de dados, garantindo que os ativos de dados sejam aproveitados de forma eficaz para gerar vantagem competitiva, eficiência operacional e tomada de decisão orientada por dados em toda a empresa.
Requisitos:
<ul>
<li>Desenvolver e manter uma estratégia corporativa de dados abrangente, alinhada aos objetivos organizacionais e iniciativas de transformação digital</li>
<li>Definir a visão de dados, o roadmap e o framework de governança da organização</li>
<li>Identificar oportunidades para alavancar dados como ativo estratégico para crescimento e inovação do negócio</li>
<li>Liderar iniciativas orientadas por dados que suportem os objetivos do negócio e gerem valor mensurável</li>
<li>Traduzir requisitos de negócio em componentes de estratégia de dados e planos acionáveis</li>
<li>Apresentar estratégias, descobertas e recomendações de dados à liderança executiva e ao conselho</li>
<li>Construir consenso entre departamentos sobre prioridades de dados e alocação de recursos</li>
<li>Estabelecer políticas, padrões e melhores práticas de governança de dados</li>
<li>Definir métricas de qualidade de dados e implementar processos de melhoria contínua</li>
<li>Garantir conformidade com regulamentações de privacidade de dados (GDPR, CCPA, HIPAA, entre outras)</li>
<li>Fomentar a cultura de data literacy e mentalidade orientada a dados em toda a organização</li>
<li>Definir o roadmap de analytics e business intelligence</li>
<li>Identificar e priorizar casos de uso para analytics avançado, IA e machine learning</li>
<li>Avaliar tecnologias emergentes de dados e sua aplicabilidade à organização</li>
<li>Mensurar e reportar o valor e o ROI das iniciativas de dados</li>
</ul>
Diferenciais: 
<ul>
<li>Certificações relevantes: CDMP, DAMA, TOGAF ou equivalentes</li>
<li>Experiência em setores como saúde, finanças, varejo, entre outros</li>
<li>Background em consultoria gerencial ou serviços de advisory</li>
<li>Publicações de thought leadership em estratégia de dados ou temas relacionados</li>
<li>Experiência com iniciativas de transformação digital</li>
<li>Conhecimento de requisitos regulatórios específicos do setor de atuação</li>
</ul>
#LI-AM2

[Job -31070] Data Strategist, Brazil

At CI&amp;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 &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;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.<div> </div> 
At CI&amp;T, we combine human expertise with AI to build scalable and innovative technology solutions for global clients. We are looking for a Senior Data Engineer with strong experience in Azure cloud, SQL, Python, Data Warehouse, and modern data engineering practices to join our international team.
This role is ideal for professionals who enjoy working with scalable data pipelines, cloud-based data platforms, data quality, governance, and analytics enablement in complex enterprise environments.
<h3>Responsibilities</h3>
<ul>
<li>
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
</li>
<li>
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence initiatives.
</li>
<li>
Develop and maintain data integration and orchestration pipelines using Azure Data Factory or similar tools.
</li>
<li>
Implement data quality validation, monitoring, and cleansing processes to ensure reliable and trustworthy data.
</li>
<li>
Create and maintain dimensional data models (Star Schema), including SCD Type 1 and Type 2 strategies.
</li>
<li>
Develop Python-based integrations and automations, including REST API consumption and data transformation workflows.
</li>
<li>
Implement CI/CD pipelines for data solutions and support automated deployment processes.
</li>
<li>
Apply Data Governance best practices, including data lineage, cataloging, access control, and data ownership.
</li>
<li>
Collaborate with international stakeholders, analysts, data scientists, and engineering teams to deliver high-quality data solutions.
</li>
<li>
Contribute to performance optimization and FinOps initiatives for cloud-based data platforms.
</li>
</ul>
<h3>Required Qualifications</h3>
<ul>
<li>
Advanced / Fluent English (C1 or higher).
</li>
<li>
Experience working with international clients or global projects.
</li>
<li>
Strong experience with Azure cloud services, including: Azure Data Factory (ADF), ADLS Gen2, Azure SQL Database,  Azure Functions, Azure Key Vault,  Azure Logic Apps
</li>
<li>
Advanced knowledge of SQL / T-SQL, including: CTEs, Window Functions,  MERGE statements,  Stored Procedures,  Change detection and incremental loading strategies
</li>
<li>
Strong experience with Python for: Data transformation, REST API integrations, JSON processing, Parquet generation, Error handling and retry patterns
</li>
<li>
Solid understanding of Data Lake, Data Warehouse, and dimensional modeling concepts.
</li>
<li>
Experience implementing Data Quality practices, such as completeness checks, referential integrity validation, and anomaly detection.
</li>
<li>
Familiarity with Git and CI/CD pipelines for data projects.
</li>
<li>
Understanding of Data Governance principles, including lineage, cataloging, security, and access management.
</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
Experience with Apache Spark / PySpark.
</li>
<li>
Knowledge of Azure DevOps or GitHub Actions for DataOps and CI/CD.
</li>
<li>
Experience with cloud-based modern data stacks.
</li>
<li>
Familiarity with FinOps practices applied to data platforms.
</li>
<li>
Experience with multi-entity or multi-source enterprise data environments.
</li>
<li>
Knowledge of Data Catalog and Lineage tools.
</li>
</ul>
<h3>What You’ll Find</h3>
<ul>
<li>
Challenging projects in large-scale enterprise data environments.
</li>
<li>
Opportunity to work with modern Azure data technologies and cloud-native architectures.
</li>
<li>
Collaborative and multicultural teams.
</li>
<li>
Continuous learning, technical growth, and participation in strategic data transformation initiatives.
</li>
</ul>
If you are passionate about Azure, SQL, Python, scalable data pipelines, and modern Data Engineering practices, we would love to hear from you!
<h2> </h2>
<div>#LI-LL1</div>

[Job-31000] Senior Data Engineer, Brazil

At CI&amp;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 &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;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.<div> </div><div>
We are looking for an experienced AI Engineer to build, integrate, and ship AI-powered features across enterprise-grade digital solutions. At its core, this is a hands-on senior developer role: you will write production code, integrate AI capabilities into real products, and raise the team's delivery speed through AI-accelerated engineering practices. The candidate is expected to be comfortable working with tools and solutions linked to the PHP and JavaScript languages, but not restricted to them, and to have solid hands-on experience. Knowledge and practical experience with AI solutions and an SDLC accelerated by AI are expected.
 Key Responsibilities &amp; Requirements
 AI-accelerated SDLC: Use AI coding tools and agentic workflows in day-to-day delivery (code generation, review, testing, documentation), and help the team adopt them consistently. Software programming: Strong command of high-level programming languages and deep experience with programming logic, clean code, and testing. Solution design: Design and document the components, workflows, data flows, and integration layers of the features you build, ensuring scalability, modularity, and performance. Requirements: Experience analysing functional and non-functional requirements, negotiating trade-offs, and making technical decisions. CMS: Familiarity with CMS (Content management system) concepts, headless architectures, and integration with front-end frameworks. Advanced English for communication.
Desirable
 AI-driven use cases: Experience with intelligent content features such as personalization engines or content recommendations using AI. Familiarity with Spec-Driven Development. Experience with headless CMS (Storyblok, Sanity.io). Experience with AI evaluation and observability (prompt versioning, regression testing, tracing). Experience with AI agent frameworks and MCP (Model Context Protocol) integrations.
 
#LI-BM2
</div>

[Job-30841] AI Engineer, Brazil

At CI&amp;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 &amp; AI, Martech and Business strategy.
We are 8,000 CI&amp;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.<div> </div><h2> </h2>
At CI&amp;T, we combine human expertise with AI to create scalable technology solutions for global clients. We are looking for a Senior Data Analyst who is passionate about transforming data into actionable insights and supporting business decisions through analytics, visualization, and data quality best practices.
<h3>Key Responsibilities</h3>
<h3>Data Analysis &amp; Exploration</h3>
<ul>
<li>
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
</li>
<li>
Develop and maintain analytical dashboards and reports.
</li>
<li>
Support decision-making by providing data-driven insights and recommendations.
</li>
</ul>
<h3>Visualization &amp; Communication</h3>
<ul>
<li>
Create clear and informative visualizations, charts, and reports using Power BI and other BI tools.
</li>
<li>
Present findings and recommendations to both technical and non-technical stakeholders in a concise and understandable manner.
</li>
</ul>
<h3>Data Quality &amp; Governance</h3>
<ul>
<li>
Ensure data integrity and quality by identifying and resolving inconsistencies and errors.
</li>
<li>
Develop and implement data validation, cleansing, and transformation processes.
</li>
<li>
Contribute to the maintenance of data dictionaries, data catalogs, and analytical documentation.
</li>
</ul>
<h3>Collaboration</h3>
<ul>
<li>
Work closely with cross-functional teams to understand business needs and deliver analytical solutions.
</li>
<li>
Partner with data engineers and data scientists to optimize data processes and information flows.
</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
</li>
<li>
Proven experience as a Data Analyst or in a similar role.
</li>
<li>
Strong knowledge of SQL and familiarity with Python for data analysis and manipulation.
</li>
<li>
Experience with data visualization tools such as Power BI, Tableau, QuickSight, or similar.
</li>
<li>
Experience with data cleansing, transformation, and integration.
</li>
<li>
Understanding of relational databases and data warehousing concepts.
</li>
<li>
Strong analytical thinking, attention to detail, and problem-solving skills.
</li>
<li>
Excellent communication skills with the ability to translate complex analyses into business insights.
</li>
<li>Ability to communicate in English ( oral, written and spoken )</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>
Knowledge of statistical analysis and data modeling techniques.
</li>
<li>
Experience in corporate Business Intelligence and Analytics environments.
</li>
<li>
Familiarity with data governance and data documentation practices.
</li>
</ul>
<h3>What You’ll Find</h3>
<ul>
<li>
A collaborative and data-driven environment.
</li>
<li>
Challenging projects with real business impact.
</li>
<li>
Opportunities to work with modern Analytics, BI, and AI technologies.
</li>
<li>
Continuous learning and professional development opportunities.
</li>
</ul>
If you enjoy analyzing data, building dashboards, and generating insights that drive strategic decisions, we’d love to hear from you!
 
 
#LI-LL1

[Job- 30913] Senior Data Analyst, Brazil

<div>
Na CI&amp;T , ajudamos grandes empresas a transformar o potencial da AI em impacto real nos negócios com AI Deployment, execução AI-native e tech-integrated business solutions.
Com 30 anos de experiência em transformação tecnológica, aceleramos inovação com expertise em agentic SDLC, application modernization, Data &amp; AI, martech e business strategy. 
Somos 8.000 CI&amp;Ters em mais de 25 países, colaborando para construir soluções com impacto real. AI já faz parte da forma como trabalhamos, evoluímos e inovamos todos os dias.
</div>
<div>Importante: se você reside na Região Metropolitana de Campinas, sua presença nos escritórios da cidade será obrigatória, conforme a política de frequencia vigente.</div><div> </div><div>
Estamos em busca de um AI Data Engineer Pl para se juntar a um time de dados que opera com inteligência artificial de forma nativa. A pessoa combina sólida engenharia de dados, modelagem, camadas analíticas, governança — com o uso de IA como parte central do fluxo de trabalho, não como apoio pontual.
Missão Transformar dados brutos em produtos de dados confiáveis, documentados e reutilizáveis, garantindo uma fonte única e consistente de informação para o negócio, operando o ciclo de desenvolvimento de forma assistida por IA, com qualidade e segurança em produção.
Responsabilidades Principais - Desenvolver transformações e modelos analíticos em Azure Databricks, ADF, Fabric e Power BI. - Construir e manter camadas analíticas (Bronze, Silver, Gold) e Modelos Semânticos orientados ao negócio. - Traduzir regras de negócio em modelos de dados escaláveis; definir, documentar e padronizar métricas corporativas. - Garantir qualidade, testes e observabilidade dos dados. - Apoiar a construção de datasets para Analytics e Agents. - Operar o SDLC com IA: codagen, testes, refactor e debugging assistidos. - Estruturar especificações que alimentam a IA (spec-driven development) e manter controle de qualidade sobre os outputs. - Construir e orquestrar agentes (multi-step, tool usage, planning + execution) integrados a repos, pipelines e APIs. - Promover boas práticas de modelagem, governança e documentação.
Conhecimentos Necessários — Dados - SQL avançado - Modelagem de dados, Data Warehousing / Lakehouse - Databricks e Python - Boas práticas de qualidade, governança e documentação - Versionamento / GitHub
Conhecimentos Necessários — IA &amp; SDLC - Spec-driven development (especificação como input primário da IA) - Domínio sólido de SDLC (design → build → test → deploy → operate) - Uso avançado de IA no desenvolvimento (codegen, testes, refactor, debugging) - Construção de agentes (multi-step, tool usage, planning + execution) - Criação de skills reutilizáveis e composição de capacidades - Integração via MCP (Model Context Protocol) ou equivalente - Criação de slash-commands / interfaces operacionais baseadas em prompt estruturado - Orquestração de workflows (multi-agente ou humano + agente) - Integração com ferramentas (Git, CI/CD, issue tracking, observabilidade) - Avaliação crítica de outputs de IA (qualidade, segurança, consistência)
</div>

Ciandt

Open jobs at Ciandt

[Job -31070] Data Strategist, Brazil

[Job-31000] Senior Data Engineer, Brazil

[Job-30841] AI Engineer, Brazil

[Job- 30913] Senior Data Analyst, Brazil

[Job - 30953] Mid Level Ai Data Engineer

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