Staff Software Engineer - BI Intelligence
nubank
São Paulo
Posted Sep 2, 2026
- Full-time
- Remote
- Engineer
Job description
# **About Nu**
Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Visit our [Institutional Page](https://www.nu.com/2026-en)
## ***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