refresh

지금 많이 보는 기업

지금 많이 보는 기업

Nubank
Nubank

Leading company in the fintech industry

Senior Analytics Engineer

직무프론트엔드
경력시니어급
위치Brazil, Sao Paulo
근무오피스 출근
고용정규직
게시3개월 전
지원하기

복지 및 혜택

Generous Paid Time Off And Holidays

Comprehensive Health, Dental, And Vision Insurance

Flexible Work Arrangements

Competitive Salary And Equity Package

Professional Development Budget

401(k) Matching

의료보험

유연 근무제

스톡옵션

교육비 지원

필수 스킬

React

TypeScript

Node.js

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

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're looking for someone who has

  • Solid experience in Data Architecture & Design, 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)

  • Nu Care – Psychological, Financial and Legal Assistance Program

  • Life Insurance

  • Medical Plan

  • Dental Plan

  • Nu Language – 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 ↗

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Nubank 소개

Nubank

Nubank

Public

Nubank, doing business outside of Brazil as Nu, is a Brazilian neobank headquartered in São Paulo, Brazil. Although it is not formally part of Brazil’s National Financial System, Nubank operates as a financial and payment institution regulated and supervised by the Central Bank of Brazil.

5,001-10,000

직원 수

São Paulo

본사 위치

$45B

기업 가치

리뷰

10개 리뷰

4.0

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

3.4

경영진

4.0

75%

지인 추천률

장점

Good salary and benefits

Great team culture and inclusive workplace

Learning and growth opportunities

단점

Heavy workload and overwhelming pace

Work-life balance challenges

Long hours during deadlines

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

21-35주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

TA Interview

5

Team Matching

6

Offer

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit