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. **Senior Data Developer (Analytics Engineer)** ---------------------------------------------- We are seeking a highly motivated Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology — someone who not only masters the technical stack but also brings strategic vision, deep understanding of business logic, and a proactive approach to solution design. This professional will own the complete lifecycle of data products — from ingestion and modeling through final delivery — ensuring that data is structured, validated, and ready for consumption in AI and analytics environments. We need someone who communicates confidently with business stakeholders (both technical and non\-technical), deeply understands the requirements behind requests, and translates them into robust, scalable technical solutions. ### **Responsibilities:** * **Business Translation \& Requirements Definition**: Actively engage with business stakeholders to understand context, challenges, and underlying needs; translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms. * **End\-to\-End Product Ownership**: Take full responsibility for the data products you build — from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring. * **Data Quality Assurance \& Validation**: Implement and maintain rigorous validation processes, automated testing, and quality checks; act as guardian of data accuracy and integrity, ensuring metrics and KPIs accurately reflect business reality. * **Data Modeling \& Transformation**: Design and implement data transformation layers that pre\-aggregate business information, apply consistent business rules, and deliver datasets ready for consumption in dashboards and AI applications. * **AI Enablement \& Data Structuring**: Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities. * **Full\-Stack Data Development**: Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python, and ensure performance and scalability of solutions. * **Proactive Problem Solving**: Go beyond fulfilling requirements — proactively identify improvement opportunities, anticipate internal customer needs, propose innovative solutions, and challenge approaches when necessary. * **Agile \& High\-Quality Delivery**: Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with the highest quality standards. * **Stakeholder Communication**: Articulate technical concepts clearly to non\-technical audiences; facilitate alignments, present solution proposals, and document modeling and architecture decisions. ### **Requirements:** * Proven experience in a Data Engineering or Analytics Engineering role at senior level * Advanced proficiency in SQL and Python for data analysis, transformation, and validation * Solid experience in data modeling and data warehouse design * Hands\-on experience working with BigQuery (or other cloud\-based data warehouse platform) * Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical * Strong sense of ownership and proactive mindset — a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act * Experience specifying and preparing data requirements for AI or machine learning applications * Advanced/fluent English (reading, writing, and conversation) — constant communication with international stakeholders is required * Track record of delivering high\-impact projects quickly and with quality ### **Nice to Have:** * Experience with dbt (data build tool) for transformation and orchestration of analytical pipelines * Familiarity with data ingestion tools such as Airbyte or Airflow * Knowledge of automated testing best practices and CI/CD for data pipelines * Prior experience in Supply Chain, Retail, or Consumer Goods industries * Experience in projects involving data preparation for consumption via generative AI or conversational analytics platforms * Experience building business\-oriented analytical reports (web reporting, custom visualizations) \#LI\-JP3 **Our benefits:** * Health and dental insurance * Meal and food allowance * Childcare assistance * Extended paternity leave * Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; * Profit Sharing and Results Participation (PLR); * Life insurance * Continuous learning platform (CI\&T University); * Discount club * Free online platform dedicated to physical, mental, and overall well\-being * Pregnancy and responsible parenting course * Partnerships with online learning platforms * Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt\-br/carreiras At CI\&T, inclusion starts at the first contact. If you are a person with a disability, it is important **to present your assessment during the selection process.** *See which data needs to be included in the report by* *clicking here*.This way, we can ensure the support and accommodations that you deserve. **If you do not yet have the assessment, don't worry: we can support you in obtaining it.** We have a dedicated Health and Well\-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
João Silva
Indeed · HR
João Silva
Indeed · HR
