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 looking for a curious, driven, and technically grounded Junior Data Engineer to join our data team and kickstart a career building impactful data solutions. This is a great opportunity to learn from experienced engineers and contribute to real-world data projects for global clients.
The Junior Data Engineer will support the design and maintenance of data pipelines and assist in delivering data solutions in a collaborative, fast-paced environment. This role is ideal for candidates who have foundational knowledge in data and software engineering and are eager to develop their skills in a modern data stack.
Responsibilities
- Data Pipeline Support: Assist in building and maintaining data pipelines and ETL/ELT processes under the supervision of senior and mid-level engineers.
- Data Architecture Assistance: Support the implementation of data infrastructure components such as data lakes and warehouses as directed.
- Data Quality: Help apply data quality checks and participate in monitoring data consistency and reliability.
- Integration Support: Contribute to the development and maintenance of integrations between data sources and analytics platforms.
- Collaboration: Engage with cross-functional teams to understand data requirements and support the delivery of technical solutions.
- Documentation: Help maintain clear and up-to-date technical documentation for pipelines and processes.
- Learning & Growth: Actively participate in code reviews, team rituals, and learning opportunities to build engineering skills.
- Powered by AI: Be open to leveraging AI tools and automation to support data engineering tasks and workflows.
Requirements
- Basic familiarity with at least one major Cloud Platform (Azure, AWS, or GCP)
- Exposure to or coursework involving data platforms (Databricks, Snowflake, or similar)
- Good level of English — B2 or above
- Proficiency with SQL for data querying and manipulation
- Basic knowledge of at least one programming language (Python preferred)
- Foundational understanding of data concepts (ETL, data warehousing, data modeling)
- Willingness to work in an international, collaborative environment
- Proactive attitude and strong desire to learn
Nice to Have
- Academic or personal projects involving data pipelines or analytics
- Exposure to modern data stack tools (dbt, Airflow, etc.)
- Familiarity with Git and version control practices
- Spanish communication skills (reading, writing, and speaking)
- Any cloud or data-related certification or online course completion
