Data Engineer

Brex; São Paulo; On-site; BRL 111,600 - 167,400; Full time

Benefits offered by this job

Up to four weeks of fully remote work per year.

Job summary

Brex is looking for a Data Engineer in São Paulo to transform raw data into actionable insights. You will collaborate closely with Data Scientists and other teams to create scalable data solutions, develop data models, and ensure high-quality data management. This role offers a hybrid work environment, requiring a minimum of three days in the office, and up to four weeks of fully remote work per year.

Qualifications

• 3+ years of experience in Data Engineering, Data Analytics, or a related field.
• Advanced knowledge of databases and SQL.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.

Responsibilities

• Design, build, and maintain scalable data models and pipelines.
• Collaborate with Data Scientists and Analysts to understand data needs.
• Ensure high quality of source-of-truth tables for data science applications.

Skills

Data Engineering

SQL

Data Workflow Orchestration

Data Modeling

Python

Agentic AI

Communication Skills

Tools

Snowflake

Airflow

Looker

Tableau

Job description

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision‑making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high‑quality, curated data source for a wide range of analytic applications.

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

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 that enable ease of predictive analytics, data analysis, and metrics formulation.
• Maintain data documentation and definitions, building and ensuring that source‑of‑truth tables remain high quality for data science and reporting applications.
• Develop and enable integration with various data sources, allowing for more data‑driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company‑wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non‑technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• 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 with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working 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 and ability to collaborate with various stakeholders, both technical and non‑technical.

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 so AI‑assisted analysis does not fork definitions.
• Experience with Salesforce data integration.