Staff Software Engineer - BI Intelligence

About Nu

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.

Visit our Institutional Page

About the Role

The BI Intelligence team builds and evolves the platforms that allow every Nubanker to consume data easily, safely, at scale and with lower cost. Databricks is one of the foundations of our internal analytics ecosystem, alongside technologies that support business intelligence, exploration and decision-making across the company.

Analytics is entering a fundamental shift. We are moving beyond predefined dashboards and manually written queries toward conversational and agentic experiences, where people can ask questions in natural language, explore relationships, create and validate metrics, and move from question to insight faster.

As a Staff Software Engineer – BI Intelligence, you will help shape this next generation of analytics. You will work at the intersection of software engineering, SRE, data platforms and applied AI, building reliable and governed systems that make data more accessible while protecting security, quality, traceability and cost.

You’ll be Responsible for

• Designing and evolving analytics platforms that serve Nubankers and business units across the company.
• Building AI-powered data experiences, including natural-language interfaces, query generation, tool orchestration, grounding and feedback mechanisms.
• Developing the foundations required for trustworthy AI analytics: semantic context, governed metrics, data contracts, lineage, quality, access control and evaluation.
• Designing and operating reliable distributed systems with strong observability, service objectives, security, performance and cost controls.
• Driving technical direction and making architectural decisions in partnership with engineering leadership and cross-functional stakeholders.
• Translating ambiguous problems into clear technical options, trade-offs and execution plans.
• Mentoring engineers and raising the engineering bar through design reviews, pairing, documentation and operational practices.
• Helping turn promising AI capabilities into dependable products that improve how Nubankers work with data.

What We're Looking For Someone Who Has

Required

• Proven experience as a Staff-level Software Engineer or equivalent technical leader delivering high-impact systems in production.
• Strong software engineering fundamentals and an SRE mindset, including experience designing reliable distributed systems, defining service objectives and improving observability.
• Experience with data platforms or analytics infrastructure, such as Databricks, distributed query engines, metadata catalogs, semantic layers or large-scale data systems.
• Deep understanding of data semantics, metric definitions, data contracts, lineage, data quality and access control.
• Experience designing or integrating AI/LLM-powered products, including natural-language interfaces, RAG, tool use, query generation, grounding or evaluation.
• Ability to balance security, governance, reliability, latency, performance and cost at scale.
• Proven ability to lead ambiguous, cross-functional initiatives and drive alignment across teams and stakeholders.
• Strong written and verbal communication skills, including the ability to explain complex technical decisions clearly.
• Experience mentoring engineers and influencing technical direction beyond your immediate team.

Nice to Have

• Experience building conversational analytics, agentic workflows or AI-powered developer/data tools.
• Experience with evaluation frameworks, guardrails and monitoring for AI-generated outputs.
• Background in financial services, fintech or other regulated environments.

Work Setup

Location

Brazil

Work model

Hybrid

Office requirement

Hybrid 2–3 times/week: 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/

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

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here