[Job-32417] Senior Data Developer (Databricks/ Espanhol), Brazil

Brazil | Oct. 23, 2026

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Company: CI&T

Country: Brazil

Type: Onsite

Employment: Homeoffice

Description: At CI&T, we help large companies 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 in more than 25 countries, collaborating to build solutions with real impact. AI is already part of the way we work, evolve and innovate every day. Important: if you live in the Metropolitan Region of Campinas, your presence in the city's offices will be mandatory, in accordance with the current attendance policy. CI&T is strengthening the digital data infrastructure of a prominent client in the Financial Services and Insurance sectors as part of a strategic initiative to redesign the client's digital channels — including app, web and direct customer service platforms. The position will integrate squads that work with artificial intelligence-oriented practices from the conception of products, reinforcing the data layer that supports these initiatives. The professional person will be responsible for building and maintaining pipelines and data infrastructure with a focus on digital analytics environments, working in close collaboration with Martech specialists to ensure robustness in the ingestion, transformation and availability of data for analytical consumption. The role is predominantly technical and operational in nature, with a strong emphasis on data engineering. Responsibilities: Manages platform data, ensuring integrity, availability and consistency throughout the entire data lifecycle. Manages the platform's technology, keeping the data infrastructure up to date, stable and aligned with business needs. Orchestrates extract, transform, and load (ETL) processes by automating data flows between source systems and analytical environments. Architect event-driven data solutions, defining frameworks that support real-time data capture and processing. Catalogs data for consumption, documenting sources, definitions and business rules to facilitate use by analytical teams. Promotes data quality through the implementation of validations, tests, and continuous monitoring routines. Promotes the observability of the solution, implementing metrics and alerts that allow you to identify failures and bottlenecks in pipelines. Promotes data infrastructure cost optimization by reviewing resource consumption and adjusting architectures as necessary. Enables and integrates domain data, connecting disparate sources to consolidate a unified analytical view. Manages solution APIs, ensuring secure and performant integrations between systems. Evolves the capacity of the data stack, evaluating and implementing technological improvements incrementally. Requirements for this challenge: Solid experience in back-end programming to build data pipelines, with proficiency in Python and/or Node.js. Mastery of SQL for large-scale data manipulation, modeling and optimization. Experience in architecting NoSQL database and cloud data warehouse solutions (e.g. BigQuery, Firestore). Solid knowledge of cloud computing concepts (AWS and/or Azure), with mastery of Google Cloud Platform (GCP) Big Data solutions. Experience in orchestrating data pipelines and ETL processes (e.g. dbt, Airflow, Dataform). Familiarity with data governance and management frameworks (e.g.: DAMA, CRISP). Experience with agile methodologies (Scrum, Kanban) in multidisciplinary teams. Differentiators: Cloud certifications (GCP, AWS or Azure). Experience in agile digital product environments (application, web, customer service). Previous experience in the Financial Services or Insurance sector.

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