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Analytics Engineer Specialist (Data & Analytics ) at RecargaPay. Come Make an Impact on Millions of Brazilians!. At RecargaPay, 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 all their financial needs.. We serve over 10 million 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 action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible.. If you’re ready to do your best work, at scale, with purpose — this is your place.. 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.. . 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.. . Hands-on experience with Python automation is a plus.. . Knowledge of AI agents is a strong plus. . Company Location: Brazil.