About the company
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.
Responsibilities
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
- Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions.
- Maintain data documentation and definitions, ensuring source-of-truth tables remain high quality.
- Develop and enable integration with various data sources.
- Apply best practices in data management to ensure reliability and robustness of data.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
- Act as a liaison between technical and non-technical teams.
- Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
Requirements
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- Advanced knowledge of databases and SQL.
- Experience integrating and orchestrating data workflows with modern data tools.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience with a data warehouse such as Snowflake.
- Experience with a data workflow orchestrator tool such as Airflow.
- Experience with a programming language such as Python.
- Experience with agentic AI.
- Exceptional quantitative and analytical skills.
- Strong communication skills.
Nice to have
- Familiarity with BI tools such as Looker, Tableau, or similar platforms.
- Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
- AI-ready data: metrics and dimensions are clear and reusable.
- Experience with Salesforce data integration.
Conditions
- Based in São Paulo office.
- Hybrid environment: minimum of three coordinated days in the office per week (Monday, Wednesday, Thursday).
- Up to four weeks per year of fully remote work.