Job Description
Team: IT
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Mid Level Data Developer based in Brazil.
This role sits at the core of a large-scale digital transformation initiative in the telecommunications sector, where data is the foundation for intelligent and automated customer interactions. You will be responsible for designing and maintaining asynchronous, event-driven data pipelines that connect multiple customer touchpoints—such as voice, WhatsApp, and mobile apps—to AI-powered systems and analytical platforms. The position requires strong technical depth in data engineering, combined with a solid understanding of streaming architectures, governance, and regulatory compliance. You will work in a highly collaborative environment alongside engineers, data scientists, and architects, ensuring that every event is reliably captured, processed, and made available for both operational and analytical use cases. This is a hands-on role with direct impact on system reliability, scalability, and data integrity in high-volume environments.
Accountabilities:
You will be responsible for building and evolving robust, scalable, and secure data pipelines that enable real-time and batch processing of high-volume interaction data. Your work will ensure that data flows across systems are reliable, traceable, and compliant with governance and privacy standards.
- Design, build, and maintain asynchronous event-driven data pipelines connecting customer channels and AI systems
- Develop resilient, idempotent event consumers capable of handling retries and failure scenarios
- Model and evolve data schemas for interaction events with strong focus on auditability and traceability
- Manage storage and persistence layers for transactional and analytical data, ensuring performance and scalability
- Optimize query performance through partitioning, indexing, and lifecycle management strategies
- Build and maintain real-time streaming and ingestion solutions for event processing
- Ensure LGPD compliance through masking, anonymization, and access control for sensitive data
- Document data schemas, pipelines, and architectural decisions to support long-term platform evolution
- Collaborate with cross-functional teams to align data infrastructure with AI and product requirements
- Proven experience as a Data Developer or Data Engineer in production environments
- Advanced SQL skills, including query optimization, indexing, and performance tuning
- Strong proficiency in Python for data processing and transformation workflows
- Experience with event-driven and transactional data modeling
- Hands-on experience with cloud platforms (AWS, GCP, Azure, or OCI) and managed data services
- Experience with streaming or real-time data processing systems
- Familiarity with AI, ML, or automated customer interaction systems is a plus
- Strong understanding of data governance, compliance, and regulatory requirements (e.g., LGPD)
- Ability to balance technical design, business needs, and data governance constraints
- Experience in high-volume, distributed data environments is highly desirable
- Knowledge of caching systems (e.g., Redis) and observability tools is a plus
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended parental leave
- Wellhub (Gympass) and TotalPass partnerships
- Profit sharing (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club with partner brands
- Online wellbeing and mental health support platform
- Parenting and maternity support programs
- Language learning platform
- Access to online courses and training programs.
Requirements
You should bring strong experience in data engineering, with the ability to design scalable pipelines and work in distributed, event-driven architectures. A strong command of SQL, Python, and cloud platforms is essential, along with a mindset focused on reliability, governance, and performance.
Benefits
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Date Posted
06/30/2026
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