
$0-$0 / yr
Salary
brazil
Region
ASAP
Start Date
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.
CI&T is a global technology consulting firm with a strong presence in Brazil, partnering with leading organizations to transform their data infrastructure and analytics capabilities. We are seeking a talented Data Developer to join our team and support critical data initiatives for a client in Brazil, working in a collaborative environment alongside internal teams and external vendors.
This role requires a hands-on developer with solid experience across the data lifecycle—from architecting and implementing scalable data platforms to building, testing, and maintaining production-grade pipelines. The ideal candidate will balance technical depth with autonomy, self-managing work priorities while contributing to knowledge sharing and mentoring within the team.
Pipeline Development & Maintenance:
Design, build, and test robust data pipelines that support data collection, transformation, and aggregation operations on cloud platforms (Azure/AWS)
Develop and maintain Infrastructure as Code (IaC) in Python for data operations, ensuring reproducibility and version control across environments
Support, troubleshoot, and resolve issues in existing data pipelines, ensuring minimal disruption to downstream consumers
Data Platform Engineering:
Implement and optimize data lake architectures using modern platforms such as Databricks and Snowflake
Design, construct, install, test, and maintain scalable data management systems that meet both business and technical requirements
Build and optimize data marts that enable data science analysis and support business intelligence tools
Quality & Governance:
Participate actively in data validation processes to ensure data accuracy, completeness, and consistency
Implement and enforce non-functional requirements including performance optimization, security controls, privacy standards, and GDPR compliance
Recommend and implement improvements to enhance data reliability, quality, and operational efficiency
Collaboration & Innovation:
Work closely with cross-functional teams and external vendors to align on technical requirements and delivery timelines
Integrate emerging data management and software engineering technologies into existing data structures
Develop standardized processes for data mining, data modeling, and data production across projects
Knowledge Sharing:
Mentor and share technical knowledge with junior team members, fostering a culture of continuous learning
Document architectural decisions, pipeline designs, and operational procedures to enable team scalability
Advanced English proficiency (both written and spoken) — mandatory for daily communication with international stakeholders
Previous hands-on experience implementing data lake solutions from scratch using platforms such as Databricks and/or Snowflake
Solid experience designing, building, and testing production-grade data pipelines in complex environments
Strong proficiency in Python for Infrastructure as Code (IaC) and data engineering tasks, including reading and writing data frames in multiple formats
Practical experience with cloud platforms Azure (e.g., Azure Functions) and AWS
Deep understanding of non-functional requirements: performance tuning, security, privacy, and GDPR compliance
Demonstrated ability to self-manage, prioritize work autonomously, and determine next steps without constant client direction
Willingness to continuously learn new technologies and adapt to evolving technical landscapes
Experience with PowerBI for data visualization and reporting
Knowledge of unit, integration, and end-to-end (E2E) testing frameworks for data pipelines
Cloud certification (Azure or AWS)
Experience with real-time data streaming technologies such as Kafka, EventHub, or Spark Streaming
Comfort with multiple programming languages and data processing frameworks
Previous experience working in agile, cross-functional teams with distributed stakeholders
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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 platformAnd 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.