Analytics Engineer Specialist

Summary

Join RecargaPay, a company revolutionizing payments in Brazil, serving over 10 million users and processing over USD 4 billion annually. We are an AI-first, 100% remote team seeking an Analytics Engineer to collaborate with others, lead methodological definitions for KPIs, and design cross-domain analytical solutions. You will contribute to strategic decisions regarding the analytical platform and represent the Analytics Engineering discipline in data governance committees. We value autonomy, ownership, and a bias for action. If you are curious, hands-on, and driven by impact, this is the place for you.

Requirements

• Strong experience with SQL for analytical development and scalable data processing
• Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models (desirable). Familiarity with PySpark
• Proficiency in data visualization tools, especially Qlik Sense and Tableau (On-Premises and Cloud)
• Experience managing and monitoring Qlik Sense On-Premises environments
• Knowledge of Qlik Sense mashups, ODAG, and Qlik Sense extensions
• Proven ability to design and build analytical dashboards and reusable data assets aligned with business logic and performance standards
• Familiarity with GitHub, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis)
• Ability to translate business requirements into governed, maintainable, and scalable analytical solutions

Responsibilities

• Collaborate with other Analytics Engineers, actively sharing frameworks, best practices, and reusable components within the analytics chapter
• Lead methodological definitions for KPIs, metric standardization, and modeling conventions across the organization
• Design cross-domain analytical solutions that are interoperable and scalable beyond individual products or squads
• Contribute to strategic decisions regarding the evolution of the analytical platform, including naming conventions, data catalog structure, semantic layers, and observability tooling
• Represent the Analytics Engineering discipline in data governance, data quality, and data architecture committees, contributing to implement enterprise-level standards and guidelines

Preferred Qualifications

• Hands-on experience with Python automation is a plus
• Knowledge of AI agents is a strong plus

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