Senior Analytics Engineer at Nubank

São Paulo, São Paulo, Brazil -

Full Time

Start Date

Immediate

Expiry Date

19 Mar, 26

Salary

0.0

Posted On

19 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Data Pipelines, Data Platform Engineering, ETL, ELT Optimization, Business Translation, Stakeholder Partnership, Mentorship, Data Literacy, Python, Scala, R, Data Architecture, Data Visualization, Communication Skills

Industry

Financial Services

Description

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 Nubank is looking for a bold and impact-driven Analytics Engineer to join our Data Platform team. This is a full-time opportunity focused on designing, building and scaling data solutions that enable better decision-making across the company. Our Analytics Engineer team operates at scale, supporting multiple business domains with reliable, high-quality and well-governed data products. The role sits at the intersection of data architecture, engineering excellence and business impact, with high autonomy to lead end-to-end data initiatives and influence our data strategy. You'll be responsible for End-to-End Data Projects: leading data projects with high autonomy, from requirements gathering and stakeholder alignment to database modeling and data delivery. Data Pipelines & Ingestion: designing, building and maintaining robust data pipelines, sometimes from scratch, ensuring reliability, scalability and performance. Data Platform Engineering: contributing to the design, documentation, maintenance, monitoring and optimization of our data codebase and tools. ETL/ELT Optimization: identifying opportunities to improve scalability, performance and reliability across our ETL/ELT platforms. Business Translation: translating business needs into data products and solutions aligned with Nubank’s data platform tools, architecture and long-term strategy. Stakeholder Partnership: negotiating and defining data strategies with technical and business stakeholders to deliver high-impact solutions, always aligned with Nubank’s data governance principles. Mentorship & Data Literacy: acting as a mentor to team members and contributing to data literacy initiatives across Nubank. We Are Looking For a Person Who Has Solid experience in Data Engineering, working in complex and/or large-scale data environments. Strong ability to write highly optimized SQL queries to solve complex problems and perform data modeling. Hands-on experience implementing and maintaining data pipelines from scratch. Strong programming experience with general-purpose languages (e.g. Python, Scala, R). Passion for data and building high-quality data products. Excellent communication skills to work effectively with both technical and business stakeholders. Nice to Have Knowledge of software engineering best practices (documentation, automated tests, clean code, etc.). Experience with analytical data architectures and modeling techniques (e.g. Data Lake, Data Warehouse, Data Mart). Familiarity with distributed data systems and parallel processing. Ability to abstract business concepts into quantitative metrics (e.g. KPIs, OKRs). Experience with data visualization tools such as Looker, Power BI, Tableau or similar. Advanced English (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/ Explore How We Build Technology At Nubank 🔗 building.nubank.com.br ↗ 🎥 youtube.com/@building.nubank ↗ 🎧 Listen to our stories on Spotify ↗

Responsibilities

The Analytics Engineer will lead end-to-end data projects, ensuring data is available and reliable for decision-making across the company. They will also design and maintain data pipelines and contribute to the overall data strategy.