About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos em busca de um(a) Data Engineer com sólida experiência em projetos de migração de dados, plataformas modernas de dados e arquiteturas em nuvem. O profissional será responsável por atuar na modernização de ambientes, com foco em soluções baseadas em Databricks e Microsoft Azure.

Responsabilidades

• Projetar, desenvolver e manter pipelines de dados escaláveis (batch e streaming).
• Atuar em projetos de migração de dados (on-premises para cloud, modernização de plataformas, etc.).
• Desenvolver e otimizar soluções utilizando Databricks.
• Construir processos de ETL/ELT seguindo boas práticas de engenharia de dados.
• Trabalhar em conjunto com times técnicos e de negócio para levantamento de requisitos.
• Garantir qualidade, governança e segurança dos dados.
• Monitorar, otimizar performance e custo das soluções em nuvem.
• Investigar e resolver problemas em pipelines de dados em produção.
• Documentar arquiteturas, processos técnicos e estratégias de migração.

Requisitos

• Formação superior em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas correlatas.
• Experiência anterior como Data Engineer.
• Experiência em migração de dados (ambientes legados para cloud ou entre plataformas).
• Experiência prática com Databricks.
• Conhecimento em Microsoft Azure, incluindo: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics e Azure SQL.
• Domínio de SQL e modelagem de dados.
• Experiência com Python ou Scala.
• Conhecimento em Delta Lake e arquitetura Lakehouse.

Diferenciais

• Certificação em Databricks.
• Experiência com CI/CD para pipelines de dados.
• Conhecimento em Infraestrutura como Código (Terraform, ARM).
• Experiência com otimização de performance em Spark.
• Conhecimento em governança de dados.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-BR1

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Location-Specific Disclosures

Total compensation includes base salary, RSUs and benefits.
Toronto base salary range (CAD): $192.000 - $288.000
Palo Alto base salary range (USD): $230.400 - $288.000

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

LI-KG1
LI-DUBLIN
LI-BRAZIL

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 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/  

Business Analysts at Nubank

As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.

It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.

We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.

You can read more about it in our blog and get some insights into how we work.

As a Business Analyst, you’re expected to:

• Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;
• Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;
• Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;
• Understand our products and interactions with other areas;
• Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;
• Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

 What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;
• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);
• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;
• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;
• Willingness and ease of learning, especially for tools;
• Openness to receive feedback and incorporate it into your daily life and development;
• Adaptability to the multifunctional environment;
• Profiles that add value to Nubank's culture.

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

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 https://building.nubank.com/nu-hybrid-work-model/

• You will ensure new customers have an excellent experience by providing technical assistance early in their journey
• You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
• You will work directly with multiple customers concurrently to provide technical solutions.

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication, in English and Portuguese
• Bonus
  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
  • Databricks certification(s)

P-993

Mission 

As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform.  You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies.  You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members.  TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The impact you will have:

• Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads. 
• Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.   
• Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements. 
• Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.

What we look for: 

• Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments. 
• Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran). 
• 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases. 
• Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis. 
• Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
• Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
• Technical degree or the equivalent experience.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

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

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

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

Option 1: 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 https://building.nubank.com/nu-hybrid-work-model/ 

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 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/  

Business Analysts at Nubank

As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.

It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.

We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.

You can read more about it in our blog and get some insights into how we work.

As a Business Analyst, you’re expected to:

• Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;
• Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;
• Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;
• Understand our products and interactions with other areas;
• Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;
• Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

 What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;
• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);
• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;
• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;
• Willingness and ease of learning, especially for tools;
• Openness to receive feedback and incorporate it into your daily life and development;
• Adaptability to the multifunctional environment;
• Profiles that add value to Nubank's culture.

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

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 https://building.nubank.com/nu-hybrid-work-model/

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 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 team: 

The Credit Risk Squad is part of the 2nd line of Defense, responsible for managing and overseeing the credit risk function of our organization by providing independent oversight and challenge to the first line of defense. As a second line Credit Risk team, we are responsible for creating Expected Credit Losses (ECL) models that are used to calculate loss allowances, making sure the company’s credit risk is managed correctly and efficiently, participating end-to-end in the model development process, including, implementation,monitoring, ensuring operational quality of the data and supporting Finance accounting teams.

About the Role:

As a Credit Risk Specialist  within our Credit Risk Squad (part of the 2nd Line of Defense), you will play a crucial role in supporting Nubank’s world class risk management framework. Your primary focus will be on expected credit loss models development and maintenance, particularly within the retail market portfolios, including credit cards and personal loans. You will contribute significantly to ensuring the company’s credit risk is managed effectively, with a strong emphasis on the universe of credit provisions.

Your key responsibilities will include:

• Developing, implementing, analysing and monitoring risk parameter models (PD, LGD, EAD) relevant to our retail portfolios, ensuring they align with regulations like IFRS9 and 4966. You will be instrumental in making sure we have state of the art models also through activities such as backtesting, data analysis, documentation and operational monitoring.
• Maintaining a strong understanding of relevant local and international regulations concerning provisions and credit risk management, including a surface-level understanding of standards like Bacen 4966 and IFRS9.
• Performing in-depth analysis of credit risk exposure and its implications for expected credit losses (ECL) and loss allowances. This will involve understanding how changes in the credit portfolio impact our provisions.
• Participating in monthly accounting closing activities, contributing to the creation of reports on loss allowance movements.
• Actively contributing to the enhancement of our controls environment within credit risk management. This is crucial for ensuring compliance with regulations such as SOX.
• Liaising with Internal and External Audit teams during model validation processes, ensuring adherence to regulatory requirements and SOX compliance in our operational processes.
• Leveraging your analytical and problem-solving skills to manipulate and learn from data related to the credit portfolio.
• This role requires a strong analytical background, a keen understanding of credit risk principles, and the ability to contribute to a robust and compliant credit risk management framework. Your work will directly impact the accuracy of our financial reporting and the overall stability of our credit operations.

Basic qualifications:

• Bachelor’s degree in Engineering, Economics, Math, Statistics, Physics or related fields
• Analytical, problem solving and passionate to manipulate data in order to learn from it
• Great coding skills (SQL, Python, Scala or other similar programming languages)
• Experience in developing or analyzing outputs of Expected Credit Loss models/PD/EAD/LGD for credit provisioning purposes
• Adaptability to dynamic way of working/short term deliverables

Preferred qualifications

• Advanced or Fluent English
• Experience with SOX controls within risk management environment

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

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 https://building.nubank.com/nu-hybrid-work-model/

About Nubank:
Nubank was founded in 2013 to free people from a bureaucratic, slow, and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is one of the world’s largest digital banking platforms and technology-leading companies.
Today, Nubank is a global company with offices in São Paulo (Brazil), Mexico City (Mexico), Buenos Aires (Argentina), Bogotá (Colombia), Durham (United States), and Berlin (Germany). It was founded in 2013 in Sao Paulo by Colombian David Vélez, and cofounded by Brazilian Cristina Junqueira and American Edward Wible. For more information, visit www.nubank.com.br

About the team:
At Nubank we heavily rely on data, machine learning, and AI to drive our strategy and provide the best experience and products to our customers.The Model Risk team plays a crucial role in ensuring Nubank relies on world-class models that meet business and customer needs, and have associated risks under control. We act by providing effective review & challenge and identifying opportunities to improve our models. We also act by implementing governance and validation standards to control the risk of our models, as well as by establishing feedback loops to constantly improve them.

The position:
This is a senior individual contributor role that will require experience in machine learning and analytics, along with knowledge of Expected Credit Loss and its parameters (PD, EAD, LGD).

You will be responsible for

• Conduct independent reviews of quantitative models based on financial, statistical, and machine learning techniques, with a focus on credit risk provisions and capital
• Provide effective challenge to models and modelling processes, identify risks and engage with other teams to strengthen our decision-making tools and capabilities.
• Develop playbooks and toolkits (e.g., Python, SQL, Scala) to optimize model reviews, ongoing monitoring, and assess the impact of models on decision-making. 
• Contribute to the construction of Nubank's Model Risk Management and Model Review processes with autonomy and creativity. 
• Discuss and report model risk status and receive independent opinions from various stakeholders, including senior managers and regulators.
• Be exposed to models from different countries and regulatory requirements.
• Have a strong understanding of relevant local and international regulations and accounting standards concerning credit provisions, including BACEN 4966 and IFRS9.
• Ensure the team maintains technical excellence and actively contributes to establishing model risk controls and processes that strengthen compliance with regulations.
• Mentor junior staff on best practices for Model Oversight and Validation.
• Work in a multicultural, diverse and highly skilled environment.

We are looking for a person who has 

• Experience developing or validating quantitative and/or machine learning models, with a focus on credit provisions and capital requirements models. 
• Interest in reviewing complex machine learning and other types of models to identify risks and propose enhancements.
• Data Science skills, strong knowledge of machine learning tools and techniques.
• Strong programming skills, desirable previous experience with Python, SQL, GitHub. 
• Ability to learn fast, strong analytical, and problem-solving skills.
• Organized and detail-oriented, without losing track of the big picture.
• English language proficiency.
• Experience in relevant local and international regulations and accounting standards related to credit provisions and capital, such as BACEN 4966, IFRS9, ICAAP.

Benefits:

• Health, dental, and life insurance
• Meal allowance
• Transportation assistance
• 30 days of paid vacation
• Chance of earning equity at Nubank
• Parking partnership - discounted parking in our office
• Free bike parking with showers available
• NuCare - Our mental health and wellness assistance program
• NuLanguage - Our language learning program
• Gympass partnership
• Extended maternity and paternity Leaves  
• Child care allowance
• ‘Espaço Feijão’- Private nursing and breastfeeding spaces in our buildings
• Onsite Health Center - Medical support for every Nubanker in our office

SOBRE A CAPCO

A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.

Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.

Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Sobre a oportunidade: 

Estamos em busca de um(a) Senior Consultant com experiência sólida em Business Analysis com plataformas de Big Data e vivência em ambientes de Cloud. Esta é uma excelente oportunidade para profissionais técnicos que desejam atuar em projetos de alto impacto, com foco em soluções escaláveis, processamento de grandes volumes de dados e modernização de ambientes analíticos.

Requisitos Desejáveis:

• Experiência com Data Lake, Delta Lake e arquiteturas orientadas a eventos.
• Certificações em Cloud (ex: AWS Certified Data Analytics, Azure Data Engineer, etc.).
• Conhecimentos em linguagens como Python, Scala ou Java voltadas para processamento de dados.
• Familiaridade com ferramentas de orquestração como Airflow, Apache Nifi, DBT ou similares.
• Entendimento de boas práticas de governança de dados, segurança e compliance.

POR QUE CAPCO:

Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Estamos em busca de um(a) Business Analyst com forte atuação em projetos de dados, capaz de traduzir necessidades de negócio em requisitos técnicos e análises estratégicas. O(a) profissional ideal terá experiência em ambientes de Big Data, conhecimento em ferramentas como Snowflake e Hadoop, e facilidade em interagir com áreas técnicas e de negócio.

Responsabilidades:

• Levantar, mapear e analisar requisitos de negócio voltados a dados e analytics;

• Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;

• Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;

• Realizar análises exploratórias de dados e gerar insights acionáveis;

• Documentar processos, fluxos de dados e regras de negócio;

• Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;

• Garantir a qualidade e integridade das entregas de dados (requisitos, relatórios, dashboards, etc.).

Requisitos:

• Experiência prévia como Business Analyst ou Product Analyst em projetos de dados;

• Familiaridade com ambientes de Data Warehouse e Data Lake;

• Conhecimento em ferramentas como Snowflake, Hadoop, Hive, Spark, etc.;

• Experiência com análise de dados utilizando SQL avançado;

• Capacidade de leitura e entendimento de pipelines de dados;

• Habilidade de comunicação com perfis técnicos e não técnicos;

• Conhecimento de metodologias ágeis (Scrum/Kanban).

• Inglês avançado.

Diferenciais:

• Experiência com ferramentas de BI (Power BI, Tableau, Looker);

• Noções de modelagem de dados (dimensional, relacional, etc.);

• Experiência em ambientes Cloud (AWS, GCP ou Azure);

• Experiência em projetos de governança de dados ou compliance (LGPD, GDPR).

PRÓXIMOS PASSOS:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.

SOBRE A CAPCO

A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.

Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.

Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Sobre a oportunidade: 

Estamos em busca de um(a) Senior Consultant para atuar como Spark Developer em um projeto estratégico para um dos maiores players do setor financeiro global. Essa é uma excelente chance para profissionais com forte background técnico em engenharia de dados e interesse em trabalhar em um ambiente de alta performance, colaborando com um cliente internacional na área de serviços financeiros. 

Principais Responsabilidades:

• Desenvolver, otimizar e manter pipelines de dados utilizando Apache Spark.
• Trabalhar em conjunto com times técnicos e de negócios para garantir a entrega de soluções eficientes e escaláveis.
• Colaborar com stakeholders internacionais, comunicando de forma clara requisitos, progresso e resultados técnicos.
• Aplicar boas práticas de engenharia de dados e versionamento de código em ambiente colaborativo.
• Atuar na identificação e resolução de problemas técnicos relacionados a performance, volume de dados e integração.

Requisitos Essenciais:

• Experiência comprovada como Spark Developer, atuando com processamento distribuído de dados em larga escala.
• Sólida base técnica em engenharia de dados e programação (ex: Scala, Python ou Java).
• Boas habilidades de comunicação e capacidade de interação com clientes e equipes globais.
• Inglês avançado para colaboração diária com times multiculturais.  

Requisitos Desejáveis:

• Experiência prévia em projetos para o setor financeiro, especialmente com serviços bancários.
• Conhecimentos em plataformas de Big Data (Hadoop, Hive, Kafka, etc.).
• Vivência com ambientes em Cloud (AWS, GCP ou Azure).
• Familiaridade com ferramentas de versionamento (Git) e metodologias ágeis.

POR QUE CAPCO:

Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

PRÓXIMOS PASSOS:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.