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.

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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

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