Sr Analytics Engineer (Checkout)

Come and impact millions of Brazilians!!

Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.

Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.

If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!

Responsibilities

As an Analytics Engineer, you will bridge the gap between data engineering and data analysis, enabling scalable and reliable data pipelines. This role requires strong skills in data modeling, SQL development, and collaboration with stakeholders.

• Model data with a focus on analytical consumption, applying best practices to structure data marts, views, and semantic layers aligned with business needs (Databricks and Redshift).
• Build dashboards and management reports using tools like Qlik Sense / Tableau, focusing on clarity, user autonomy, and action-oriented insights.
• Translate business needs into data solutions, working closely with product leadership.
• Create and maintain SQL and Python scripts for data analysis, automation, and consolidation from various internal and external sources.
• Ensure governance, consistency, and documentation of developed analytical solutions.
• Automate analytical processes using Python, SQL, and Sense scripts to increase efficiency and reliability.
• Act as a technical reference, promoting knowledge sharing and analytical best practices across business teams.

Requirements

• Strong knowledge of SQL (e.g., Presto, PostgreSQL, BigQuery)

• Experience with data visualization tools (Power BI, Tableau, Qlik Sense, etc.)
• Knowledge of data modeling (e.g., dimensional modeling, star schema)
• Experience with Python for analysis, automation, and data processing
• Nice to have: knowledge of Databricks, PySpark, and version control with Git

Benefits

• Competitive and market-aligned salary.
• Remote work — wherever you are, you’re part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app.
• Health and dental plans with no co-pay.
• Life insurance.
• Flexible meal allowance (via Flash).
• TotalPass membership to take care of your health.
• Spanish or Portuguese classes.

Diversity & Inclusion at RecargaPay
At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey 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 within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).