Analytics Engineer Specialist ( Data & Analytics)

RecargaPay; Brasil; Teletrabalho; BRL 30 000 - 45 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Salário competitivo e alinhado com o mercado

Trabalho remoto — onde quer que você esteja, você faz parte da equipe!

Auxílio para home office

Planos de saúde e dentais sem coparticipação

Seguro de vida

Auxílio refeição flexível

Aulas de espanhol ou português

Resumo da oferta

A RecargaPay está buscando um Engenheiro de Dados de nível inicial para se juntar à sua equipe 100% remota, onde você participará da construção de soluções analíticas escaláveis. Este papel envolve a colaboração em frameworks de análise, desenvolvimento de dashboards, e tomada de decisões estratégicas sobre a evolução da plataforma analítica. Estamos focando em candidatos com experiência em SQL, Databricks e ferramentas de visualização como Qlik Sense.

Qualificações

• Experiência forte em SQL para desenvolvimento analítico e processamento de dados escaláveis.
• Experiência prática com Databricks, desenvolvimento de data marts e modelos analíticos é desejável.
• Proficiência em ferramentas de visualização de dados, especialmente Qlik Sense e Tableau.

Responsabilidades

• Colaborar com outros Engenheiros de Análise, compartilhando frameworks e melhores práticas.
• Definir metodologicamente KPIs, padronização de métricas e convenções de modelagem.
• Desenhar soluções analíticas cross-domain que sejam interoperáveis e escaláveis.

Conhecimentos

SQL

Databricks

Qlik Sense

Python

AI agents

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.

Requirements

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
  
  

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

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at RecargaPay by 2x

Sign in to set job alerts for “Data Engineer” roles.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.