Analytics Engineer Specialist

RecargaPay; Brasil; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A RecargaPay está em busca de um Especialista em Engenharia Analítica para liderar a criação de soluções hipotéticas que impactam diretamente as decisões estratégicas em um mercado financeiro em rápida transformação. Se você possui forte experiência em SQL e ferramentas de visualização como Qlik Sense, esta é a oportunidade para se juntar a uma equipe remota pioneira em soluções financeiras.

Serviços

Salário competitivo e alinhado ao mercado

Trabalho remoto

Vale home office

Planos de saúde e dentário sem co-pagamento

Seguro de vida

Vale refeição flexível

Aulas de espanhol ou português

Qualificações

• Experiência forte com SQL e PySpark para desenvolvimento analítico.
• Capacidade comprovada para criar visões e ativos de dados reutilizáveis.
• Experiência prática com ferramentas de visualização e Databricks.

Responsabilidades

• Liderar a modelagem e arquitetura de dados analíticos visando desempenho e escalabilidade.
• Design e supervisão do desenvolvimento de dashboards estratégicos.
• Atuar como consultor de dados para departamentos-chave.

Conhecimentos

SQL

PySpark

Visualização de dados

Automação analítica

Formação académica

Formação superior em Ciência da Computação ou área relacionada

Ferramentas

Qlik Sense

Tableau

Databricks

Descrição da oferta de emprego

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

We are seeking a highly skilled and business-driven Analytics Engineer Specialist to join our Data team at RecargaPay. In this role, you will lead the design and implementation of scalable, high-performance analytical data models and solutions that power strategic decision-making across the organization. You'll collaborate cross-functionally with Product, Engineering, and Business stakeholders to ensure our data infrastructure not only supports but drives business impact, data democratization, and innovation.

• Lead the modeling and architecture of analytical data, focusing on performance, scalability, and adherence to market best practices.
• Design and oversee the development of strategic dashboards and analytical layers that serve multiple areas and levels of the organization.
• Act as a data advisor for key departments, supporting the definition of KPIs, advanced analyses, and data-driven decision-making frameworks.
• Ensure standardization, governance, and version control of implemented analytical solutions, integrating them with existing data pipelines.
• Lead initiatives for analytical automation and data democratization, promoting the use of self-service tools and internal training.
• Collaborate with Data Engineering, Product, and Technology teams to build solutions that connect data to digital products, processes, and business strategies. Mentor Analytics professionals, fostering technical development, methodological consistency, and data storytelling best practices.
• Monitor and implement new trends and technologies in data analysis, contributing to the continuous evolution of the field
  
  
  

Requirements

• Strong experience with SQL and PySpark for analytical development and scalable data processing.
• Proven ability to design and build analytical views and reusable data assets, aligned with business logic and performance standards.
• Proficiency in visualization tools, preferably Qlik Sense and Tableau, or equivalent platforms (e.g., Power BI, Looker).
• Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models.
• Familiarity with dbt, Git, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis).
• Ability to translate business requirements into governed, maintainable, and scalable analytical solutions.
• 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.
• Represent the Analytics Engineering discipline in data governance, data quality, and data architecture committees, contributing to enterprise-level guidelines.
• Collaborate with other Analytics Engineers, actively sharing frameworks, best practices, and reusable components within the analytics chapter.
• Contribute to strategic decisions regarding the evolution of the analytical platform, including naming conventions, data catalog structure, semantic layers, and observability tooling
  
  
  

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).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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