RecargaPay Brazil Full-time 2024-06-28

RecargaPay is the Super App that simplifies everyday payments for consumers and SMEs in Brazil.

The platform streamlines payments for over 6 million Brazilians by consolidating credit and debit cards, instant payments like Pix, and Open Finance, on a mission to democratize mobile payments and financial services in Brazil.

Featuring services such as bill payments, mobile top-ups, public transportation, installment plans, and loans, designed with convenience, low cost and flexibility in mind. RecargaPay is changing the way both banked and unbanked Brazilians make their everyday payments and access their financial services.


  • Analyze and organize raw data.
  • Build analytical data models.
  • Conduct complex data analysis and report on results.
  • Evaluate business needs and objectives.
  • Interpret trends and patterns.
  • Build algorithms and prototypes.
  • Combine raw information from different sources.
  • Ensure the quality, availability, and traceability of data.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition and tuning processes and queries.
  • Collaborate with analytics team and data engineers on several projects.
  • Examine the data a company stores and study how it affects business operations and profitability.
  • Help the company adopt data modeling standards and concepts, including layered data modeling in Databricks.
  • Foster a collaborative environment within the team and across departments.
  • Demonstrate autonomy and proactivity in identifying and addressing issues.
  • Take accountability for delivering high-quality results and meeting project deadlines.


  • Experience in data management and analytics.
  • Previous experience in the financial sector or fintechs.
  • Advanced SQL knowledge.
  • Knowledge in relational and dimensional database modeling.
  • Experience in data governance.
  • Great numerical and analytical skills.
  • Knowledge of Spark and Databricks.
  • Experience with AWS Redshift or other columnar databases is mandatory.
  • Degree in Computer Science, IT, or similar field; a Master’s is a plus.
  • Advanced proficiency in English or Spanish is a plus.
  • Strong collaborative skills and the ability to work effectively in a team environment.
  • Demonstrated autonomy and proactivity in professional settings.
  • Commitment to accountability and delivering high-quality work.
  • Knowledge of Qlik Sense (desirable).


  • Medical and Dental assistance without co-participation;
  • Life insurance;
  • Flexible Meal voucher – Flash;
  • TotalPass;
  • Home office assistance – monthly deposit in the RecargaPay app for personal use;
  • Spanish classes;
  • Educational partnerships;
  • Discount in Universities for Undergraduate, Graduate and MBA courses;
  • Anywhere office – work from wherever you want.

Diversity & Inclusion at RecargaPay
Diversity is part of our DNA and we are in constant search for representativeness and evolution. We believe that our employees should be who they are, and that is what makes them unique in their roles – regardless of gender, religion, disabilities, LGBTQI+, ethnicity, generations and different experiences. And we are looking for people who are authentic and free to co-create a more inclusive and innovative company and society. Does it sound like you?

About the use of your Data

The candidate, when sending a resume with personal and professional data to participate in the RecargaPay recruitment and selection process, is aware that the data will be used for the necessary analyzes and validations throughout the recruitment process and for hiring, if necessary, as well how you authorize RecargaPay to share curriculum data with other companies in the RecargaPay group if opportunities arise according to the candidate’s profile.

In compliance with Law 13.709 / 18, LGPD – General Data Protection Law, the candidate may request the update, rectification and modification of their information during the recruitment and selection process, or, even, request the non-use of data under the terms the terms of applicable law.