Consultant -- Azure, Data & AI
Design and deliver Azure data and AI solutions for clients, building scalable data pipelines, integrating AI services, and enabling advanced analytics while supporting secure, well-governed architectures.
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.
As CI&T grows, we seek a talented, motivated, and experienced Data Developer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive.
The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions.
Responsibilities:
Requirements:
Design and deliver Azure data and AI solutions for clients, building scalable data pipelines, integrating AI services, and enabling advanced analytics while supporting secure, well-governed architectures.
Develop and optimize Databricks-to-AWS data migrations, pipelines, and integrations, ensuring reliable data conversion, streaming, validation, security, and performance across modern data platforms.
Projeta, desenvolve e mantém plataformas de dados corporativos, pipelines ETL/ELT e ferramentas de qualidade de dados para viabilizar insights sobre clientes e processar grandes volumes de informação.
Build and optimize cloud-native data platforms and distributed pipelines for scientific research, analytics, and machine learning workflows, partnering with scientists and engineers in a fusion energy R&D environment.
Build and validate Databricks data pipelines for pilots, proof-of-concept solutions, and production workflows, applying medallion architecture, governance tagging, data protection policies, and quality controls.