Senior Data Developer (Analytics), Brazil

Reresourcegroup; Brasil; Teletrabalho; BRL 180 000 - 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Profit Sharing (PLR)

Life insurance

CI&T University – learning platform

Language learning platform

Wellness programs

Resumo da oferta

A CI&T Software S.A. no Brasil busca um Senior Data Developer (Analytics) para atuar como ponte entre negócio e tecnologia, gerindo o ciclo de vida completo de dados, desde ingestão até entrega final, assegurando dados estruturados, validados e prontos para consumo em ambientes de AI e analytics.

Você comunicará requisitos com stakeholders, projetará camadas de transformação, garantirá qualidade, modelagem de dados e entrega ágil com alto nível de qualidade.

Qualificações

• Experiência sênior em Data Engineering ou Analytics Engineering.
• Proficiência avançada em SQL e Python para análise, transformação e validação de dados.
• Experiência com modelagem de dados e data warehouse.
• Experiência prática com BigQuery ou equivalente em nuvem.
• Capacidade de entender a lógica de negócio e validar resultados.
• Proatividade e senso de ownership em entregas de dados.
• Conhecimento em requisitos de dados para IA/ML.
• Inglês avançado/fluente para comunicação com stakeholders internacionais.

Responsabilidades

• Traduzir requisitos de negócios em especificações técnicas para plataformas de analytics e IA.
• Assumir ownership de dados desde ingestão até entrega e monitoramento.
• Garantir qualidade de dados com validação e testes automatizados.
• Desenhar transformações e camadas de modelagem para dados usados em dashboards e IA.
• Colaborar com equipes de IA para estruturar dados e dicionários.
• Desenvolver pipelines de dados escaláveis com SQL e Python.
• Sugerir melhorias e desafiar abordagens quando necessário.
• Entregar soluções com velocidade e qualidade, com alinhamento entre equipes.

Conhecimentos

SQL

Python

Data analysis

Data modeling

BigQuery

Ownership

English fluency

Stakeholder comms

Ferramentas

dbt

Airbyte

Airflow

CI/CD for data pipelines

Descrição da oferta de emprego

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Senior Data Developer (Analytics), Brazil

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

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 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.