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 Developer 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
Interest in AI/ML or data science concepts
Spanish communication skills (reading, writing, and speaking)
Any cloud or data-related certification or online course completion

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