[Job - 30340] Senior Data Developer (Analytics Engineer), Brazil
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[Job - 30340] Senior Data Developer (Analytics Engineer), Brazil
Location
Brazil
Experience
Senior
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
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](https://docs.google.com/presentation/d/12BqYLIGeEyp9t0ZdF2b4bvnjFLza4E8fmbcowWeBlfk/edit?slide=id.g3a9cf52bf2b_0_0#slide=id.g3a9cf52bf2b_0_0)[.](https://docs.google.com/presentation/d/12BqYLIGeEyp9t0ZdF2b4bvnjFLza4E8fmbcowWeBlfk/edit?slide=id.g3a9cf52bf2b_0_0#slide=id.g3a9cf52bf2b_0_0)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.
Key Responsibilities
- Translate business requirements into technical specifications for AI and analytics platforms
- Own the complete lifecycle of data products from ingestion to delivery and monitoring
- Implement data quality assurance, automated testing, and validation processes
- Design and implement data transformation layers and data modeling
- Prepare structured data and models to enable AI and intelligent reporting capabilities
- Build and maintain data ingestion pipelines using SQL and Python
- Proactively identify improvement opportunities and propose innovative solutions
- Deliver reliable data solutions with high quality and speed
- Communicate technical concepts clearly to non-technical stakeholders
Skills Required
SQLPythonData ModelingData Warehouse DesignBigQueryCloud-based Data Warehouse PlatformsCommunicationProblem SolvingOwnershipProactive MindsetBusiness AcumenStakeholder ManagementdbtAirbyteAirflowCI/CDGenerative AIConversational AnalyticsWeb ReportingCustom Visualizations
Benefits
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Gym and wellness partnerships
- Profit Sharing and Results Participation
- Life insurance
- Continuous learning platform
- Discount club
- Well-being platform
- Pregnancy and parenting courses
- Language learning platform
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