[Job-30800] Senior Data Engineer, Brazil

Job description

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. 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. 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. At CI&T, we are looking for a talented and experienced Data Engineer to join our team and help build scalable, high-performance data solutions for global clients. In this role, you will be responsible for designing, developing, and maintaining modern data pipelines and cloud-based data platforms that enable analytics, reporting, and data-driven decision-making. You will collaborate with cross-functional teams, ensuring data quality, reliability, and performance while implementing best practices in Data Engineering. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes. Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives. Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks. Develop integrations between multiple data sources, APIs, and third-party platforms. Collaborate with Data & Analytics Managers, Data Scientists, and business stakeholders to translate business requirements into technical solutions. Monitor and optimize data pipeline performance, query efficiency, and infrastructure costs. Create and maintain technical documentation for data architectures, pipelines, and engineering processes. Implement data security best practices and support compliance with data privacy standards. Leverage AI-powered tools and automation to improve engineering productivity and development workflows. Required Qualifications Advanced English (B2 or higher). Experience working with international clients. Strong experience in Data Engineering and ETL/ELT pipeline development. Hands-on experience with Python and SQL. Experience with Databricks and PySpark. Experience with modern data warehouse platforms such as BigQuery, Snowflake, Redshift, or similar. Solid understanding of data modeling, database design, and data architecture principles. Ability to design scalable, reliable, and maintainable data solutions. Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Experience with modern Data Stack tools, including dbt, Airflow, Fivetran, Stitch, or similar. Experience with streaming technologies such as Kafka, Pub/Sub, or Kinesis. Knowledge of data visualization platforms such as Tableau or Looker. Experience with Docker and container orchestration using Kubernetes. Familiarity with AI/ML pipelines and MLOps concepts. Experience with Infrastructure as Code (Terraform, CloudFormation). Cloud or Data Engineering certifications. Experience designing scalable database architectures. If you are passionate about Data Engineering, modern cloud technologies, and building scalable data solutions in a collaborative global environment, we'd love to hear from you! #LI-LL1 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. At CI&T, we are looking for a talented and experienced Data Engineer to join our team and help build scalable, high-performance data solutions for global clients. In this role, you will be responsible for designing, developing, and maintaining modern data pipelines and cloud-based data platforms that enable analytics, reporting, and data-driven decision-making. You will collaborate with cross-functional teams, ensuring data quality, reliability, and performance while implementing best practices in Data Engineering. Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes. Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives. Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks. Develop integrations between multiple data sources, APIs, and third-party platforms. Collaborate with Data & Analytics Managers, Data Scientists, and business stakeholders to translate business requirements into technical solutions. Monitor and optimize data pipeline performance, query efficiency, and infrastructure costs. Create and maintain technical documentation for data architectures, pipelines, and engineering processes. Implement data security best practices and support compliance with data privacy standards. Leverage AI-powered tools and automation to improve engineering productivity and development workflows. Required Qualifications Advanced English (B2 or higher). Experience working with international clients. Strong experience in Data Engineering and ETL/ELT pipeline development. Hands-on experience with Python and SQL. Experience with Databricks and PySpark. Experience with modern data warehouse platforms such as BigQuery, Snowflake, Redshift, or similar. Solid understanding of data modeling, database design, and data architecture principles. Ability to design scalable, reliable, and maintainable data solutions. Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Experience with modern Data Stack tools, including dbt, Airflow, Fivetran, Stitch, or similar. Experience with streaming technologies such as Kafka, Pub/Sub, or Kinesis. Knowledge of data visualization platforms such as Tableau or Looker. Experience with Docker and container orchestration using Kubernetes. Familiarity with AI/ML pipelines and MLOps concepts. Experience with Infrastructure as Code (Terraform, CloudFormation). Cloud or Data Engineering certifications. Experience designing scalable database architectures. If you are passionate about Data Engineering, modern cloud technologies, and building scalable data solutions in a collaborative global environment, we'd love to hear from you! #LI-LL1