Staff 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 were 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 Companys Most Innovative Companies and Forbes Worlds Best Bank.

About the Role

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 Nubanks 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 Nubanks 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 organizations central nervous system and set the technical bar for the entire Analytics Engineering function within Global Core Banking.

What Youll Own

• 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 Nubanks most critical business and regulatory requirements.

What Were Looking For

Must-haves

• 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 services fintech or similar) understanding of controls reconciliation data lineage and compliance implications.
• Stakeholder management and influence: Demonstrated ability to align diverse stakeholders influence technical direction across teams and drive adoption of standards including the confidence to push back when necessary.
• Technical depth: Advanced SQL and strong proficiency in general-purpose languages (Python Scala or similar) with hands-on experience building and maintaining production data pipelines.
• Breadth across the data stack: Cross-tool experience across modern data stacks: streaming platforms data contracts data warehouses and orchestration frameworks.
• Business-to-data translation: Ability to translate ambiguous complex business challenges into concrete data products and architectural decisions.

Nice to Have

• Experience with AI/ML integration in data workflows or defining AI-native data strategies.
• Background in financial data modeling (payments transfers credit or accounting data).
• Familiarity with data governance tooling metadata management and PII classification.
• Experience mentoring senior engineers and contributing to function-level hiring or capability building.
• Knowledge of software engineering best practices (testing CI/CD documentation clean code).

Why This Role

• Maximum impact & visibility: Highest-visibility data role in core banking you will work on the central nervous system of all money movements at Nubank with access to strategic rooms not typically available to ICs.
• Build from scratch: This is a greenfield architecture initiative not a legacy migration. You will design what the next generation of financial data infrastructure should look like from scratch.
• Frontier of agentic AI in financial services: The ecosystem you build is the foundation for AI-powered banking. You will define which workflows become AI-native and set the guardrails for agentic financial data flows.
• Cross-border cross-product scope: Your work will affect products customers and operations across multiple countries from day one.
• Outsized ownership for your level: At Staff in this domain you are effectively the head of data for core banking with disproportionate influence and ownership relative to your level.

Our Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Extended maternity and paternity leaves
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package if applicable.

Role Location

Hybrid 2-3 times/week in our office locations in the US: 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 Experience:

Staff IC