About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page
https://international.nubank.com.br/careers/
About The Role
As Analytics Engineers at Nubank, we are the bridge between business needs and the data platform. We make data available across the company, focusing on solid modeling, governance, and performance. We also share best practices and contribute to tools that enable teams to work in a more organized, efficient, and secure way.
To help you better understand the role, we’ve included a few helpful links below:
Nubank is looking for a motivated and impact-driven Analytics Engineer to join our Data Platform team. This is a full-time opportunity focused on developing and maintaining analytical data solutions that support decision-making across the company. Our Analytics Engineer team operates at scale, supporting multiple business domains with reliable, high-quality, and well-governed data products.
In this role, you will work on well-defined data initiatives within your team, executing tasks independently while receiving guidance on more complex challenges. The role sits at the intersection of analytics engineering, data modeling, and business context, offering strong opportunities for technical and professional growth.
You'll be responsible for
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Data Projects Execution: contributing to data projects within your team, supporting requirements understanding, data modeling, and delivery with guidance from more experienced engineers.
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Data Pipelines & Ingestion: developing and maintaining data pipelines and transformations, following established patterns to ensure reliability and performance.
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Data Platform Contribution: contributing to the maintenance, documentation, and monitoring of our data codebase and tools.
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ETL / ELT Improvements: assisting in identifying and implementing incremental improvements to scalability, performance, and reliability across ETL/ELT workflows.
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Business Translation: helping translate business needs into analytical datasets and metrics, asking questions to clarify requirements and expected outcomes.
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Collaboration with Stakeholders: working closely with technical and business stakeholders within your domain, communicating progress and incorporating feedback.
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Knowledge Sharing: documenting solutions and sharing learnings with the team, contributing to data literacy and best practices when needed.
We're looking for someone who has
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Experience working with analytics engineering, data analytics, or similar roles.
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Good ability to write clear and efficient SQL queries and support data modeling activities.
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Hands-on experience developing or maintaining data pipelines and transformations.
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Programming experience with general-purpose languages (e.g. Python, Scala, R).
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Basic knowledge of data architecture and analytical data structures.
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Interest in building high-quality, reliable data products.
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Clear communication skills to collaborate effectively within the team.
Nice to Have
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Familiarity with software engineering best practices (documentation, clean code, basic testing).
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Exposure to analytical data architectures such as Data Lakes, Data Warehouses, or Data Marts.
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Basic knowledge of distributed data systems and parallel processing.
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Ability to translate business concepts into metrics or KPIs with guidance.
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Experience with data visualization tools such as Looker, Power BI, Tableau, or similar.
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English proficiency suitable for technical collaboration.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Explore How We Build Technology At Nubank
🔗 building.nubank.com.br ↗
🎥 youtube.com/@building.nubank ↗
🎧 Listen to our stories on Spotify ↗
