Data Analytics Engineer (Fintech)

TL;DR

Data Analytics Engineer (Fintech): Developing and maintaining the data platform, building ETL pipelines, and serving clean data to drive decision-making with an accent on dimensional modeling and cloud-native infrastructure. Focus on automating solutions, managing pipeline orchestration, and implementing high-quality data models using software engineering best practices.

Location: Must be based in São Paulo (4 days on-site, 1 day remote)

Company

hirify.global is a rapidly growing international fintech company providing integrated business accounts, hedging, and financing solutions to help companies scale globally.

What you will do

• Build and maintain robust ELT/ETL data pipelines to serve the internal data platform.
• Develop and deploy project-specific data models using dbt to support company-wide BI and decision-making.
• Manage end-to-end data projects, from requirement gathering to technical delivery.
• Orchestrate data workflows using Apache Airflow on Google Cloud Platform.
• Implement and promote software engineering best practices including version control, automated testing, and CI/CD.
• Collaborate with cross-functional stakeholders to define requirements and improve data governance.

Requirements

• 2+ years of experience in data or analytics engineering.
• Proficiency in SQL and intermediate experience with Python.
• Familiarity with dimensional modeling and data warehousing concepts.
• Experience with modern data stack tools (GCP, dbt, Looker).
• Advanced English proficiency is required.
• Commitment to software engineering practices in a data context.

Culture & Benefits

• Fast-paced environment in a high-growth fintech company.
• Opportunity to work with a diverse global team across 27+ offices.
• Focus on professional development and career acceleration.
• Commitment to an inclusive workplace where diversity is valued.