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.

Responsibilities:

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

Requirements:

• 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

Nice to Have:

• 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