Job Description **Introduction**As a Senior Data Engineer, you will play a strategic role in building innovative solutions that drive digital transformation for Avanade’s clients. Working with modern data and artificial intelligence technologies—including GenAI and AI Agents—you will directly contribute to developing scalable and intelligent architectures. Your work will be essential in turning data into value, enabling faster decision-making, process automation, and continuous business innovation. **Join us**Join a team leading innovation in data and artificial intelligence, working on challenging, high-impact global projects. Here, you’ll have room to grow, share knowledge, and build solutions that truly make a difference for our clients. Together we do what matters. **Benefits:** * Meal or food allowance * Multibenefit Card (up to Senior Consultant) * Health and dental insurance * Certifications and training * Life insurance * Private pension plan * Avababy: pregnancy support and welcome kit for new parents * Company profit-sharing program * Wellhub * Childcare allowance * Career mentoring * Birthday Off policy (one paid day off in your birth month) * Well-being sessions * For managerial roles: company vehicle, parking, and fuel allowance **Responsibilities** * Develop, structure, and optimize scalable and high-performance data pipelines; * Design modern architectures for AI, GenAI, and AI Agent solutions; * Integrate generative AI models into enterprise environments and business applications; * Build and maintain solutions using Large Language Models (LLMs); * Process, transform, and govern structured and unstructured data; * Develop integrations via APIs, microservices, and automation; * Implement solutions using AI Agent and RAG (Retrieval-Augmented Generation) frameworks; * Ensure data pipeline quality, security, performance, and observability; * Collaborate with Data Science, Engineering, Cloud, and Product teams; * Support technical decisions and evolution of data and AI architecture; * Participate in strategic innovation initiatives and AI adoption across the business. Qualification **Required qualifications:** * Solid experience as a Data Engineer or in Data Engineering; * Hands-on experience with Artificial Intelligence, GenAI, or AI Agent projects; * Advanced Python knowledge; * Experience with SQL and data modeling; * Experience with cloud environments (AWS, Azure, or GCP); * Experience building and orchestrating data pipelines; * Knowledge of APIs, integrations, and distributed architecture; * Familiarity with LLMs, embeddings, vector databases, and RAG; * Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar; * Knowledge of Git, CI/CD, and software engineering best practices; * Analytical, collaborative profile with strong problem-solving skills; * **Advanced English is mandatory for meetings, collaboration with global teams, and technical documentation.** **Preferred qualifications:** * Cloud certifications (AWS, Azure, or GCP); * Experience with data governance and observability; * Experience with MLOps and AI model lifecycle management; * Experience in modernizing data platforms.
João Silva
Indeed · HR
João Silva
Indeed · HR
