Role Description Ser a principal referência técnica de Inteligência Artificial da Neoage, conectando dados, modelos, automações e produtos para transformar IA em um diferencial competitivo do negócio. Como a primeira pessoa dedicada a essa frente, você será responsável por identificar oportunidades de alto impacto, construir aplicações inteligentes, agentes e automações baseadas em IA e estruturar a arquitetura necessária para sustentar a evolução da empresa. Seu desafio será transformar dados em ativos estratégicos, acelerando a inovação, aumentando a eficiência operacional e contribuindo para a criação de produtos inteligentes que impulsionem o crescimento da Neoage. Atuando em parceria com os times de Produto, Tecnologia, Growth e Monetização, você ajudará a construir a fundação técnica que permitirá à Neoage escalar o uso de Inteligência Artificial em toda a organização. Responsibilities - Atuar como principal referência técnica em Inteligência Artificial aplicada ao negócio. - Identificar oportunidades de uso de IA com impacto relevante em receita, produtividade, experiência do usuário e eficiência operacional. - Desenvolver agentes inteligentes, automações e aplicações baseadas em LLMs para uso interno e externo. - Projetar e implementar arquiteturas de RAG (Retrieval-Augmented Generation), embeddings e busca semântica. - Integrar modelos de IA com sistemas internos, APIs, bancos de dados e ferramentas de negócio. - Construir e evoluir pipelines de dados que suportem aplicações de IA, analytics avançado e automações. - Estruturar e evoluir a plataforma de dados da empresa, garantindo qualidade, escalabilidade e confiabilidade. - Desenvolver integrações entre múltiplas fontes de dados e sistemas corporativos. - Implementar monitoramento, observabilidade e mecanismos de avaliação para aplicações de IA. - Garantir qualidade, segurança, governança e performance dos dados utilizados por soluções inteligentes. - Colaborar com times de Produto, Tecnologia e Negócios para transformar problemas complexos em soluções escaláveis. - Documentar processos, disseminar conhecimento e contribuir para a evolução da maturidade de IA e Dados na organização. - Apoiar a construção da visão de longo prazo para IA dentro da Neoage. Qualifications - Experiência prática com IA Generativa, aplicações baseadas em LLMs, agentes inteligentes, RAG, embeddings ou automações baseadas em IA. - Experiência em Engenharia de Dados, Engenharia de Software, Analytics Engineering, AI Engineering ou áreas correlatas, com histórico de construção de soluções escaláveis e orientadas a dados. - Forte base em IA aplicada a dados: compreensão de como dados são consumidos por aplicações de IA, automações e sistemas de decisão, e capacidade de estruturar dados para esses fluxos. - Experiência prática com IA Generativa: LLMs, embeddings, vetorização ou arquiteturas modernas de consumo de dados para IA. - Experiência desenvolvendo aplicações, agentes ou automações integradas a modelos de IA, utilizando APIs de LLMs e frameworks modernos. - SQL avançado e Python, com experiência em ETL/ELT, modelagem de dados e arquiteturas de Data Lake/Lakehouse. - Orquestração de pipelines e fluxos de automação (Airflow, Dagster, n8n, Make ou similares), com foco em monitoramento, observabilidade e confiabilidade. - Ingestão via APIs (REST/Webhooks) e integração com múltiplas fontes e plataformas. - Cloud (preferencialmente AWS — S3, etc.) e motores de consulta distribuídos (Trino, Presto, Athena ou similares). - Familiaridade com ferramentas de analytics e visualização de dados (Looker Studio, Metabase, Power BI ou similares) e, idealmente, stacks de martech/adtech (Google Ads, Meta, CleverTap, Braze, GA4, etc.). - Inglês avançado para leitura técnica, consumo de documentação e interação em ambientes internacionais. Differentials - Experiência construindo agentes inteligentes e fluxos multiagentes. - Vivência com LangChain, LangGraph, CrewAI, LlamaIndex ou frameworks similares. - Experiência com bancos vetoriais e mecanismos de busca semântica. - Conhecimento em MLOps, avaliação de modelos e monitoramento de aplicações de IA. - Experiência com automações avançadas utilizando n8n, Flowise, Langflow ou similares. - Conhecimento em dbt, Airbyte, Apache Iceberg, OpenMetadata, Databricks ou Kubernetes/EKS. - Experiência na construção e evolução de Customer Data Platforms (CDP). - Vivência em empresas de martech, adtech, mídia digital, CRM ou marketing de performance. - Experiência em ambientes de alta autonomia, crescimento acelerado e construção de produtos do zero. - Histórico de implementação de soluções de IA que geraram impacto mensurável para o negócio. Modelo de trabalho - Remoto Modelo de Contrato - Pessoa Jurídica (PJ)

Role Description As a Data Engineer on the Data Platform team, you'll help design, build, and evolve the data infrastructure that powers analytics, AI, and machine learning across VTEX. This is a hands-on, mid-level role: you'll own features end-to-end — from ingestion and processing to storage and consumption — taking on problems that come with real ambiguity, and delivering them with growing independence. We're not looking for someone who arrives knowing everything. We're looking for someone with a strong engineering foundation and a high ceiling: a fast learner with sharp problem-solving instincts who is energized by a data platform going through a deep transformation of its architecture and the way it's built. Qualifications - Think like a platform builder. - Comfortable with modern data architectures — data warehouses, data lakes, and data lakehouses. - Proficient in Python and its data-processing ecosystem, SQL. - Experience with cloud data platforms (AWS preferred; GCP/Azure welcome). - Data-driven mindset. - Proficient with AI assistants and code-generation tools. - Clear communication in writing — specs, docs, and design notes. Requirements - Own a piece of the platform from design through to production with minimal supervision. - Understand the trade-offs that shape a platform others depend on. - Produce work that is idempotent, reproducible, and documented. - Define how the impact of your work will be measured before you build it. - Design solutions that thoughtfully consider when and how AI should be used. - Collaborate well across engineering and non-engineering peers. Benefits - Annual profit-sharing program and equity eligibility. - Health, dental, and life insurance with national coverage provided by VTEX. - Annual budget for professional development in Tech. - Language development incentive program (English, Spanish, Portuguese). - Flexible meal allowance. - Extended parental leaves. - Child-care assistance. - Flexible work schedule and remote-first culture. - Financial assistance to build your work-from-home setup. - Wellness program. - Free shipping on 1000+ VTEX stores.

• Own backend and data architecture across marketing data pipelines, connector systems, platform APIs, agent/tool runtimes, and downstream product surfaces, defining durable domain boundaries and data contracts between warehouse outputs, platform APIs, agent tools, and user-facing workflows. • Turn ambiguous platform needs into incremental technical plans that balance reliability, security, tenant isolation, developer experience, and long-term maintainability. • Lead the evolution of data pipelines following the medallion architecture, driving data quality, schema enforcement, lineage, and curated outputs for analytics and product use cases. • Harden ingestion from external marketing platforms and related APIs, including connector and reconciliation patterns. • Architect backend services across API paths and cloud infrastructure, shaping how platform capabilities are exposed through stable contracts, streaming workflows, and tool permissions. • Implement secure authentication, authorization, rate limiting, and multi-tenant access controls across services. • Write high-quality, production-ready code and integrate with external APIs, cloud services, and internal microservices. • Build and maintain deployment pipelines and infrastructure environments, implementing tracing, structured logging, metrics, and alerting to ensure reliability, latency, and operational standards. • Mentor engineers, contribute to internal libraries, backend frameworks, and drive consistency across the platform.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. Media Data Platform team owns the collection, distribution of media data and operates services that provide near real-time operational views of consumer touchpoints. We maximise capture, storage, analysis of our billions of impressions and tags, and apply analytics, algorithms and visualisation to drive media performance monitoring, new insight creation and activation automation back in the ad tech stack. Following our organization's exciting shift toward a product-oriented approach, we are evolving our data capabilities to deliver direct, high-impact value to our business stakeholders. We are seeking a versatile Full Stack Engineer with a strong foundation in Data Engineering to join our Media Data Platform team. In this role, you will be the bridge between complex data infrastructure and user-facing solutions. Position overview The Full Stack Engineer adheres to business and technical standards, policies, and procedures throughout the software delivery lifecycle whilst accurately sizing and estimating the effort required to deliver technical solutions. You will develop, build, configure, customise, integrate, and test high-quality solutions based on functional and technical requirements. You will follow Agile methodologies and principles through work outputs and behaviours. You will work with other Product Team members (e.g., Product Owner, Business Analyst) to ideate software solutions. You will act as the champion and advocate via a thorough understanding of Google cloud technologies, helping to deploy Big Data solutions, provide guidance for vendors designated to build and manage data pipelines & ETL processes, and cloud data migrations in a production, secure and scalable manner. How You Will Contribute In this role, you will collaborate with external vendors and internal stakeholders to bridge the gap between complex data engineering and real business impact. You will work with project resources to provide design collateral and to configure software components that are aligned with security policy and governance, ensure adherence configuration standards and processes, and share your knowledge of the technology with relevant stakeholders. Key Responsibilities - Data Engineering & Pipeline Management: Own and advance our internal media data platform. Partner with external vendors to design, build, and optimize robust data pipelines connecting various media platforms. - Full-Stack Product Development: Transition data into actionable products. Design, develop, and maintain internal reporting tools, interactive dashboards, and AI-driven solutions. - Product-Oriented Execution: Adopt a product mindset-ensuring scalability, reliability, and a great user experience for all internal data tools. - Data Governance & Quality: Ensure data integrity, consistency, and security across all pipelines and downstream applications. - Manage suppliers who build and maintain the digital data platforms and drive continuous improvement and optimization programs. Ensure the consistent application of software engineering best practices (e.g. version control, testing, continuous integration) - Ensure that all data integration infrastructure works as designed (API, orchestration, SFTP etc.) - Provide cleaned, transformed data sets ready for analysis through various delivery mechanisms: flat file extracts, data marts, API - Maintain data documentation & definitions - Facilitate change management and continuous improvement to maximize user adoption and business value. Qualifications & Experience Required: - Bachelor's degree in Business, Engineering, Information Systems, or related field (or equivalent experience). - 5+ years in IT solution ownership, application management, or product ownership - preferably with Google Cloud solutions - Hands-on experience with Google Cloud, BigQuery, DBT - Knowledge of tools, methodology for achieving the best-in-class data management (SQL, Python, PySpark, Airflow) - Experience working with visualisation tools like PowerBI, Tableau, Google Looker Studio - Experience in media data engineering and adtech data integration challenges. What You Will Bring A desire to drive your future and accelerate your career. You will bring experience and knowledge in: - Industry experience with data transformation technologies such as DBT. - A strong command of SQL. - Practical experience with statistical techniques and methods such as regression analysis and distributions. - Awareness of industry best practice in data warehousing and management for large volumes of structured/unstructured data. Skills & Competencies - Exceptional communication and influence skills - able to engage senior leaders, translate complex regulatory/tech topics, and drive consensus. - Analytical mindset with focus on data accuracy, cost optimization, and sustainability impact measurement. - Proactive, results-oriented; thrives in fast-paced, evolving data environments. - Strong project management and prioritization abilities across multiple global initiatives. Work schedule: The responsibilities of this position are performed within the framework of a regional business model that is defined and managed by Mondelēz Europe GmbH, Switzerland. No Relocation support available Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Software & Applications Technology & Digital