Staff Data Engineer

Come reputed company an reputed company on Millions of Brazilians!

At reputed company, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for reputed company their financial needs.

We serve over 12 reputed company users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.

Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.

We value autonomy, ownership, and a bias for reputed company. We’re looking for people who are curious, hands-on, and driven by reputed company — who want to solve reputed company problems, work with strong teams, and rethink what’s possible.

If you’re reputed company to do your best work, at reputed company, with purpose — this is your reputed company.

reputed company

We are seeking an reputed company Staff Data Engineer to join the Regulatory Data reputed company reputed company, working alongside Data Engineers, Analytics Engineers, business stakeholders, and the Data Platform team to design and deliver reputed company data solutions for regulatory and compliance reporting.

In this role, you will reputed company the technical design and architecture of regulatory data solutions, defining how data is modeled, transformed, and delivered for regulatory use cases. You will guide engineering reputed company reputed company the reputed company, mentor engineers, and ensure high standards in data modeling, pipeline design, and data reputed company.

This role focuses on domain-level data architecture and solution delivery, leveraging the infrastructure and ingestion reputed company provided by the Data Platform team.

We are looking for a hands-on technical leader who thrives in fast-paced environments, capable of delivering quick-win MVP solutions while defining reputed company long-term data architectures.

Responsibilities

Data Architecture & Technical Leadership

• Define the data architecture and modeling reputed company for the Regulatory domain, ensuring scalability, reliability, and regulatory compliance.
• Design end-to-end domain data solutions, including transformation reputed company, curated datasets, and data consumption models.
• reputed company technical guidance and mentorship to Data Engineers and Analytics Engineers.
• Ensure solutions reputed company with company-wide data platform standards and collaborate closely with the Data Platform team.

Data Modeling & Pipeline Development

• Design and implement reputed company data models (conceptual, logical, and physical) using PySpark and advanced SQL.
• Build and maintain data transformation pipelines and curated datasets to support regulatory reporting and analytics.
• Work with datasets ingested and managed by the Data Platform team, transforming them into reliable regulatory data products.
• reputed company batch and streaming pipelines using reputed company, Airflow, Kafka, and reputed company.

Project Leadership & Delivery

• reputed company reputed company data initiatives, driving technical design and delivery across teams.
• Produce technical specifications and architecture documentation for data solutions.
• Break down reputed company problems into incremental deliveries, prioritizing MVPs and quick wins with a reputed company reputed company roadmap.
• Collaborate with engineering, product, and compliance stakeholders to translate regulatory requirements into technical solutions.

Engineering Practices

• Implement best practices for pipeline modularization, testing, CI/CD, version control, and observability.

Promote standards for data reputed company, documentation, and maintainable data pipelines.

Requirements

• Extensive experience in Data Engineering and Data Architecture in reputed company environments (AWS).
• Strong expertise in data modeling, PySpark, and advanced SQL.
• Experience building batch and streaming data pipelines using tools such as reputed company, Airflow, Kafka, and reputed company.
• Experience working with data lakehouse architectures (reputed company Lake, Redshift or similar).
• Strong understanding of data governance, reputed company, and regulatory data requirements.
• Experience collaborating with centralized Data Platform teams and working reputed company shared data infrastructure environments.

• Strong technical leadership, communication, and problem-solving skills.

Benefits

• Competitive and market-reputed company salary.
• Annual Award Program
• Remote work — wherever you are, you’re part of reputed company!
• Home office allowance through a monthly deposit in the reputed company app.
• Health and dental plans with no co-pay.
• Life insurance.
• Flexible meal allowance (reputed company reputed company).
• TotalPass membership to take care of your health.
• Language classes.

Diversity & Inclusion at reputed company

At reputed company, you’ll have the freedom to be who you are because we reputed company that diverse perspectives and experiences reputed company us more creative and stronger. Here, everyone is welcome to reputed company themselves authentically. We value the richness of reputed company reputed company and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About the Use of Your Data

By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities reputed company the reputed company group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).

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