Data Engineer

ob Title: Data Engineer, EDM III BRL

Location: Remote Brazil

Salary: BRL 10,800 per month

BMP Analytics Team

Position Overview

The BMP (Business Model and Pricing) Analytics team is seeking an experienced Data Engineer to support business performance management and strategic decision-making through scalable data infrastructure and engineering solutions. The team partners closely with leadership, finance, operations, and business stakeholders to enable reliable, high-quality data access, support advanced analytics, and drive data-informed actions across the organization.

The Data Engineer will play a critical role in designing, building, and maintaining robust data pipelines, data models, and foundational data assets that power analytics, reporting, and emerging AI/ML capabilities. This role requires strong engineering rigor, a deep understanding of data systems, and the ability to collaborate across technical and business teams.

The ideal candidate has a proven track record of building scalable data solutions in a fast-paced, cross-functional environment and is comfortable balancing foundational data platform work with evolving analytics and AI-driven initiatives.

What you will do:

• You have a strong engineering and problem-solving mindset. You translate business and analytical needs into scalable, reliable data solutions and architectures.

• You design, build, and maintain scalable data pipelines and data models that support business performance monitoring, analytics, and reporting, while contributing to the development of the BMP Data Foundation across Hive, Snowflake and data lake environments.

• You support the buildout of data products and applications, including contributing to Streamlit-based pipelines and the development of chatbot capabilities to enhance data access and user interaction.

• You collaborate closely with analytics, data science, and business teams to ensure data availability, quality, and usability for dashboards, reporting, and advanced analyses.

• You enable and support the buildout of advanced analytics, machine learning and AI capabilities, ensuring the necessary data infrastructure, pipelines, and environments are in place to support model development and deployment.

• You contribute to the design and evolution of the data and ML ecosystem, helping establish the infrastructure, processes, and foundations required to scale AI/ML initiatives across the organization.