CI&T

Data Engineer

• Design, develop, and maintain scalable, reliable data pipelines.
• Build data ingestion, transformation, and modeling solutions using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
• Ensure data quality, integrity, and usability across the entire pipeline.
• Design and maintain Data Lake and Data Warehouse solutions, applying data governance best practices.
• Work with concepts and architectures such as Bronze, Silver, and Gold layers, star schema, Delta Tables, Delta Sharing, and analytical tables.
• Collaborate with technical and business teams to orchestrate solutions aligned with company objectives.

Senior Data Engineer, Cloudera

Backend Engineer

• Lead technical decisions and address complex business challenges alongside clients and cross-functional teams.
• Conduct code reviews and ensure compliance with architectural standards.
• Mentor and coach team members on best practices, code quality, and technical development.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Propose and develop innovative, strategic solutions with the team for assigned projects.
• Serve as a technical reference within high-performance agile teams on international contracts.

Senior Back End Developer, Node.js

• Driving technical decisions and facing complex business challenges with clients and cross-functional teams
• Conducting code reviews and ensuring adherence to architectural standards
• Mentoring and coaching team members on best practices, code quality, and technical growth
• Collaborating with stakeholders to translate business requirements into technical solutions
• Innovating and proposing strategic solutions with the team for the projects you will be working on
• Working in high-performance agile teams within international contracts as a technical reference

AI Engineer

• Define and lead end-to-end AI architecture for complex ecosystems, balancing technical depth with business outcomes.
• Translate business strategy into scalable AI technology solutions through discovery workshops, assessments, and roadmaps.
• Act as a technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
• Lead architectural design, technology selection, and proof-of-concepts for critical AI platforms and innovation programs.
• Govern technical quality across delivery squads, driving adherence to security, performance, scalability, and privacy standards.
• Support pre-sales, proposal development, RFPs, and technical visioning with account teams and clients.
• Coach and mentor senior architects and technical leads, shaping technical career development paths.

Senior AI Architect

• Design, develop, and deploy AI-driven applications and services, with a strong focus on Machine Learning and Generative AI use cases.
• Build and integrate LLM-based solutions using frameworks such as LangChain, ensuring reliability, scalability, and performance.
• Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
• Implement data pipelines, model training workflows, and inference services across different environments.
• Optimize models and systems for performance, cost, and scalability in production.
• Ensure best practices related to model evaluation, monitoring, versioning, and responsible AI usage.
• Contribute to technical discussions, architectural decisions, and proof-of-concepts for AI initiatives.
• Stay up to date with emerging AI technologies, tools, and industry trends.

Senior AI Engineer

• Build, test, and maintain scalable backend services using modern technologies.
• Develop APIs and integrations
• Collaborate with frontend, DevOps, and product teams to deliver end-to-end features.
• Implement and maintain unit, integration, and E2E tests using appropriate testing frameworks.
• Participate in architecture discussions and advocate for clean code, performance, and security best practices.
• Contribute to CI/CD automation, monitoring, logging, and infrastructure setup.
• Document technical solutions and contribute to knowledge sharing within the team.
• Work in Agile teams and participate in ceremonies (stand-ups, reviews, retrospectives).

Senior Backend Developer

• Define and lead end-to-end data architecture for complex ecosystems, balancing technical depth with business outcomes.
• Translate business strategy into scalable technology solutions through discovery workshops, assessments, and roadmaps.
• Act as technical sponsor for CI&T’s most strategic accounts, working closely with C-level clients and non-technical stakeholders.
• Lead architectural design, technology selection, and proof-of-concepts for critical platforms and innovation programs.
• Govern technical quality across delivery squads, driving adherence to security, performance, scalability, and privacy standards.
• Support pre-sales, proposal development, RFPs, and technical visioning with account teams and clients.
• Coach and mentor senior architects and technical leads, shaping technical career development paths.

Senior Data Architect

• Design, build, and maintain scalable, high-quality data pipelines for structured and unstructured data.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
• Monitor, troubleshoot, and optimize data pipelines for reliability and performance.
• Support data validation, testing, and documentation processes.
• Contribute to the design and deployment of modern data architectures (e.g., data lakes, lakehouses, data warehouses).
• Apply Infrastructure-as-Code (IaC) practices for provisioning and managing cloud resources.
• Integrate emerging tools and frameworks to modernize existing data environments.
• Ensure security, governance, and compliance in all stages of data handling.
• Work in agile teams, contributing to continuous improvement and mentoring junior team members.

Senior Data Engineer

Data Scientist

• Understand complex business challenges and translate them into data science problems.
• Explore, analyze, clean, and model structured and unstructured datasets from various sources.
• Design and implement machine learning models, statistical tests, and optimization strategies.
• Conduct experimentation using A/B testing, uplift modeling, and simulation frameworks.
• Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
• Create and present data storytelling insights for both technical and business stakeholders.
• Contribute to model explainability, fairness, and responsible AI practices.
• Stay updated on academic and industry research, and promote innovative solutions.

Senior Data Scientist

Frontend Engineer

• Develop responsive and performant user interfaces using modern frameworks and tools.
• Translate design prototypes and wireframes into reusable and modular components.
• Collaborate with backend teams to integrate APIs and services into frontend applications.
• Write and maintain unit/integration tests to ensure code quality and maintainability.
• Ensure adherence to frontend best practices, performance optimization, and accessibility standards.
• Participate in code reviews, architecture discussions, and Agile ceremonies.
• Contribute to the continuous improvement of development processes and toolchains.

Senior Frontend Developer

• Design, develop and maintain scalable, robust data pipelines.
• Build ingestion, transformation and data modeling solutions using Databricks, Spark/PySpark, Cloudera and Azure Data Factory (ADF).
• Ensure data quality, integrity and usability throughout the entire pipeline.
• Design and maintain Data Lake and Data Warehouse solutions, applying data governance best practices.
• Work with concepts and architectures such as Bronze, Silver and Gold layers, Star Schema, Delta Tables, Delta Sharing and analytical tables.
• Collaborate with technical and business teams to orchestrate solutions aligned with company objectives.

Mid-level Data Engineer, Cloudera

• Choose architectural patterns, scalability strategies and security implementations.
• Ensure coding best practices and implement relevant tests.
• Document the architecture, create diagrams and centralize information.

Senior Software Architect – .NET

Business Analyst

• Translate business requirements into clear technical and data specifications.
• Collaborate with solution architects to define and maintain solution documentation, including APIs, domain models, and data flows.
• Perform advanced data analysis and modeling to support business decisions and identify trends.
• Lead backlog management, requirement analysis, and dependency/gap analysis.
• Validate features and data outputs throughout the development lifecycle, diagnosing and resolving issues as needed.
• Develop and maintain dashboards and reports to track KPIs and business performance.
• Act as a key liaison between business stakeholders, UX/UI, and development teams.

Senior IT Business Analyst, Data

Product Manager

• Managing the complete data lifecycle, from data generation through ETL pipelines to data enablement.
• Data Architecture & Infrastructure: understanding the technical architecture and infrastructure that support the organization’s data needs, including storage, integrations, and analytics platforms.
• Task Prioritization: working with technical and business teams to understand their data needs and priorities, effectively communicating the value of data initiatives, prioritizing tasks, and defining the roadmap while balancing competing stakeholder demands.
• Data Profiling: analyzing data types, relationships, patterns, and trends to gain a deeper understanding of the data.
• Requirements Definition: collaborating with internal and external stakeholders to gather and document data requirements, ensuring they are clear, specific, achievable, and define how data should be presented for consumption.
• Business Process: understanding business workflows to make appropriate assumptions about sources, entities, and attributes needed to answer business questions.
• Validation: validating the product with users to ensure it meets their needs and expectations, using data and metrics to inform decisions.
• Performance Analysis: monitoring and analyzing product performance using metrics and KPIs to assess success; tracking the effectiveness of data initiatives and investments and using data-driven insights to drive continuous improvement.
• AI Integration: supporting the incorporation of AI into team workflows to accelerate performance.
• Team Leadership: leading cross-functional teams (including data scientists, engineers, and analytics specialists) to develop and deliver high-quality data products; attracting, retaining, and developing top data talent through mentoring, training, and growth opportunities to build motivated teams.

Data Product Manager

DevOps Engineer

• You will play a leading role in the digital and cultural transformation, driving the adoption of DevSecOps practices at one of Brazil's largest telecommunications companies.
• Your mission will be to develop a new project to process customer payments through multiple methods, including Boleto, credit card, Pix, and others.
• Provide all possible cloud resources with a focus on cost reduction to meet the primary requirement of processing thousands of payments per minute on a robust and efficient infrastructure.

Senior Data Engineer, Cloudera

Senior Back End Developer, Node.js

Senior Back End Developer, Node.js

Senior AI Architect

Senior AI Engineer

Senior Backend Developer

Senior Data Architect

Senior Data Engineer

Senior Data Scientist

Senior Frontend Developer

Mid-level Data Engineer, Cloudera

Senior Software Architect – .NET

Senior IT Business Analyst, Data

Data Product Manager

Senior DevOps, Brazil