Lead Analytics Engineer

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 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. Visit our institutional page https://international.nubank.com.br/careers/

About The Role

As Analytics Engineers at Nubank, we are the bridge between the business needs and the data platform. We make data available to the entire company, always thinking about the best modeling, governance and performance. In addition, we share best practices and create new tools so that everyone who consumes the data can work in a more organized, efficient and secure way.

To help you better understand the role, we’ve included a few helpful links below:

Data Analysts are now called Analytics Engineers
Analytics Engineer at Nubank

As a Lead Analytics Engineer at Nubank, you will play a critical role in shaping how data is designed, built, and used across the company. You will lead complex, high-impact analytics initiatives that span multiple teams and business domains, acting as a technical reference while remaining hands-on. This role sits at the intersection of data architecture, analytics engineering, and business strategy, requiring strong technical expertise, ownership, and the ability to influence decisions through data. You will work with high autonomy, partnering closely with stakeholders to deliver scalable, reliable, and well-governed data products that enable better decision-making across Nubank.

What you'll do

• Lead end-to-end analytics initiatives, from problem definition and stakeholder alignment to data modeling, pipeline implementation, and delivery.

• Design and evolve analytical data architectures (Data Lake, Data Warehouse, Data Marts) that are scalable, performant, and aligned with long-term strategy.

• Build and maintain robust, large-scale data pipelines, often from scratch, optimizing for reliability, performance, and cost.

• Identify and drive improvements across ETL/ELT platforms, tooling, observability, and data quality processes.

• Translate complex business needs into clear, actionable data models, metrics, and analytical products.

• Act as a trusted partner to technical and business stakeholders, helping define data strategies and manage trade-offs.

• Mentor Analytics Engineers, contribute to hiring, and promote best practices in analytics engineering and data literacy.

• Influence technical standards and ways of working within projects and across the analytics engineering community.

We're looking for someone who has

• Solid experience in data architecture and data modeling within complex or large-scale data environments.

• Strong ability to write highly optimized SQL and design efficient analytical models.

• Proven experience designing, building, and maintaining data pipelines from scratch.

• Strong programming skills in Python, Scala, or similar general-purpose languages.

• Experience working with distributed data systems and parallel processing.

• Ability to translate business concepts into metrics, KPIs, and analytical solutions.

• Excellent communication skills, able to clearly explain technical concepts to diverse audiences.

• A strong sense of ownership, curiosity, and passion for building high-quality data products.

Nice to have:

• Experience with software engineering best practices (clean code, documentation, automated testing).

• Familiarity with modern analytics stacks and tools (e.g., Spark, Airflow, dbt, Looker, Tableau, Power BI).

• Experience with data governance, lineage, metadata, and access control.

• Experience mentoring others or acting as a technical reference within a team.

• Advanced English proficiency (B2+ according to CEFR).

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

Work Model for this Role

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/

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