[Job-31812] Senior Data Developer (Analytics), Brazil

Ciandt; Brasil; Presencial; BRL 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Life insurance

Continuous learning platform (CI&T)

Resumo da oferta

CI&T seeks a Senior Data Developer (Analytics) to own end-to-end data products—from ingestion and modeling to validation and delivery—across AI and analytics environments. You will ensure data is structured, validated, and readily consumable for dashboards and AI applications.

The role requires translating business needs into robust technical specifications, collaborating with business stakeholders, and delivering high-impact data solutions with proactive ownership and strong communication in

Qualificações

• Senior-level experience in Data Engineering or Analytics Engineering.
• Advanced proficiency in SQL and Python for data analysis, transformation, and validation.
• Solid experience in data modeling and data warehouse design.
• Hands-on experience with BigQuery or other cloud-based data warehouses.
• Ability to understand complex business logic and validate results from a business perspective.
• Ownership mindset with proactive improvements and challenging requirements when needed.
• Experience specifying data requirements for AI/ML applications.
• Advanced English communication with international stakeholders.

Responsabilidades

• Translate business needs into clear technical data specifications for AI and analytics platforms.
• Own data products from ingestion through modeling, transformation, validation, delivery and monitoring.
• Implement and maintain data quality checks, automated testing, and data integrity governance.
• Design data transformation layers that pre-aggregate business information for dashboards and AI apps.
• Collaborate with AI teams to specify structured data, data dictionaries, and models.
• Full-Stack Data Development: build and maintain data ingestion pipelines from multiple sources and ensure performance.
• Proactively identify opportunities for improvement and anticipate stakeholder needs.
• Deliver reliable data solutions with speed and high quality in agile delivery.
• Communicate technical concepts clearly to non-technical audiences and document architecture decisions.

Conhecimentos

SQL

Python

Data Modeling

BigQuery

Data Warehouse

Stakeholder Communication

Ferramentas

dbt

Airbyte

Airflow

Descrição da oferta de emprego

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.

We are seeking a highly motivated Senior Data Developer (Analytics) 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

#LI-TO1

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.