Posted 3 days ago

[Job-31630] Mid Level Data Engineer, Brazil

BrazilRemote

AI Summary

Design, develop, and maintain scalable data pipelines using Databricks and PySpark, working with Data Lake environments and integrating data from multiple sources for international clients.

About this role

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.

At CI&T, we combine human expertise with technology to build scalable and innovative data solutions for global clients.

We are looking for a Mid-Level Data Engineer with solid experience in Databricks, Data Lake, and data pipeline development to join our team and work on modern data engineering solutions for an international client.

This role is ideal for someone who enjoys working hands-on with data, building and maintaining scalable pipelines, and collaborating with technical teams in a global environment.

What You’ll Do

Design, develop, and maintain data pipelines using Databricks and PySpark.
Work with Data Lake environments and modern data engineering practices.
Develop data ingestion, transformation, and processing workflows.
Integrate data from different sources and databases.
Ensure data pipelines are reliable, scalable, and maintainable.
Work with technologies such as Python, Azure, and Kafka.
Interact with relational and NoSQL databases, including MySQL, SQL Server, and Couchbase.
Troubleshoot data pipeline issues and contribute to continuous improvements.
Collaborate with international teams and stakeholders in an English-speaking environment.

What You’ll Need

Professional experience in Data Engineering.
Hands-on experience with Databricks and PySpark.
Experience developing and maintaining data pipelines.
Solid understanding of Data Lake concepts and data processing.
Knowledge of Python.
Experience with Azure.
Familiarity with Kafka and data streaming/integration concepts.
Experience working with databases such as MySQL, SQL Server, or Couchbase.
Advanced English (B2+), with the ability to communicate effectively in meetings and with international teams.

Nice to Have

Experience with cloud-based data platforms and modern data architecture.
Experience with large-scale data processing.
Knowledge of data integration, streaming, and distributed processing.
Experience working in Agile and international environments.

What We’re Looking For

We’re looking for a hands-on Data Engineer who is comfortable working with Databricks and PySpark, has a good foundation in data engineering, and can communicate confidently in English while collaborating with global teams.