Data Analytics Engineer

📋 Description

• Build ETLs and data pipelines to serve data in our platform
• Provide clean, transformed data for analysis and BI
• Develop data models and deliver to teams to drive decisions
• Automate end-to-end data solutions to reduce manual data extracts
• Collaborate with stakeholders to define requirements and delivery
• Manage pipeline orchestration with Airflow (Cloud Composer)

🎯 Requirements

• 2+ years in data/analytics engineering building data pipelines.
• Proficiency in SQL.
• Mid-level Python experience.
• dbt and Google Cloud Platform (BigQuery, Looker).
• Familiarity with dimensional modelling/data warehousing concepts.
• Software engineering practices in data: version control, testing, CI/CD.

🎁 Benefits

• Hybrid work: 4 days onsite, 1 remote in São Paulo.
• Join a fast-growing fintech with 2000+ Eburians across 70 cities.
• Work with the modern data stack (dbt, GCP, Looker) and BI tooling.
• Collaborative, inclusive culture and career growth.