Analytics Engineer

About Us

Nu is one of the largest digital financial platforms in the world, with more than 135 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.

Analytics Engineers at Nubank are the bridge between business needs and the data platform — making data available across the entire company through sound modeling, governance, and engineering excellence. We are looking for a Staff Analytics Engineer (IC7) to lead one of our most strategic data initiatives: building the authoritative, canonical data ecosystem for all money movements across Nubank's global Payments and Transfers Platform.

Our mission is to deploy and harden a single source of truth for this critical domain to eliminate fragmented, non-standardized datasets, creating reconciliation failures, regulatory risk, and compounding limitations for AI-powered products. This is not a migration or maintenance project. You will reimagine the data architecture from first principles — designing what the next generation of financial data infrastructure should look like, then driving its execution across a complex, multi-stakeholder environment.

The work will directly fuel Nubank's core products, regulatory operations, and AI roadmap. This role offers extraordinary visibility: you will lead strategic planning and prioritization on a global scale, and influence the data direction of the organization's central nervous system, and set the technical bar for the entire Analytics Engineering function within Global Core Banking.

• Canonical Data Strategy:
  Define and own the vision and roadmap for a canonical data ecosystem covering all payment and transfer flows across products, customers, and borders at Nubank.
• End-to-End Technical Leadership:
  Lead end-to-end, high-stakes data projects with full autonomy — from requirements gathering and architecture design through delivery, monitoring, and continuous improvement.
• Data Architecture & Engineering:
  Design and implement robust, scalable data pipelines and models built to last — with an architecture that explicitly supports regulatory, accounting, analytics, and AI use cases.
• Governance &
  
  Risk Management:
  
  Build and enforce data controls, reconciliation frameworks, and governance standards that reduce regulatory and operational risk across the organization.
• Cross-Functional Influence:
  Navigate a complex landscape of technical and business stakeholders — aligning teams on standards, negotiating trade-offs, and driving adoption of canonical data sources even when it requires challenging the status quo.
• Agentic AI Integration:
  Define the AI strategy for your domain — deciding which workflows become AI-native, building reusable AI components, and setting guardrails for regulated financial data flows.
• Technical Leadership & Mentorship:
  Set the technical bar for the Analytics Engineering function, mentoring ICs up to IC6, contributing to hiring, and shaping how the team grows and operates.
• Strategic Partnership:
  Partner with data platform, engineering, product, compliance, and finance teams to ensure the ecosystem supports Nubank's most critical business and regulatory requirements.

• Proven ownership mindset:
  Track record of independently leading complex, high-impact data initiatives at scale — not just executing tasks, but owning and driving the entire problem.
• Data architecture expertise:
  Deep experience designing data architectures for complex domains, including transactional, analytical, and regulatory data models.
• Regulatory environment experience:
  Experience working in or alongside regulated environments (financial…