Programa de Estágio - Engenharia de Dados

Introduction

A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role offers an exceptional opportunity to build an attractive portfolio, acquire new skills, gain insights into diverse industries and embrace new challenges for your future career. At IBM, we prioritize continuous learning, skills development and personal growth within a culture of coaching and mentoring.

As an intern, you will experience this culture and have the opportunity to advance into our associate program based on results and performance.

Work Experiences You May Be Exposed To

Assist in the development and maintenance of data pipelines using Google Cloud tools (BigQuery, Dataflow, Cloud Storage, etc.); Support the extraction, transformation and loading (ETL/ELT) of structured and unstructured data; Work with code versioning and deployment automation in Git repositories; Apply DataOps concepts to improve data quality and reliability; Monitor and optimize the performance of data workflows; Document processes and best practices for the team.

Preferred Education

None

Required Technical And Professional Expertise

• Currently pursuing a degree in Computer Engineering, Computer Science, Statistics, Mathematics or related fields;
• Graduation starting in December 2026;
• Knowledge of SQL for data manipulation and analysis;
• Knowledge of Python for script development and process automation;
• Knowledge of the fundamentals of relational and non-relational databases;
• Ability to communicate effectively;
• Intermediate level of English.
  
  

Preferred Technical And Professional Experience

Knowledge of Big Data and large-scale data processing and experience with data orchestration frameworks (e.g., Dataform, Dataflow, Apache Airflow, Cloud Composer);

Basic concepts of ETL/ELT and data engineering;

Knowledge of Cloud Platforms, preferably Google Cloud Platform (GCP), especially BigQuery and Cloud Storage;

Git and GitHub/GitLab for code versioning;

Concepts of CI/CD for deployment automation and experience with Terraform for infrastructure as code (IaC);

Basic knowledge of data security and governance.