About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Location & Remote Work

Our team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application Review
• People Interview
• Hiring Manager Interview
• Case
• Stakeholder Interview
• Offer

About the Team

We are looking for a Sales Operations Sr. Coordinator to lead a multidisciplinary team and drive quantitative, strategic commercial analyses to build scalable, automated sales operations processes. This role plays a critical part in improving commercial productivity, decision-making, and execution by transforming data into insights and operational routines that support sales teams at scale. As a leader, you will be responsible for mentoring and developing a team of specialists and interns, ensuring high-quality delivery while fostering a collaborative environment.

Key Responsibilities

Leadership & People Management

• Directly manage and develop a diverse team (ranging from interns to senior specialists), providing clear guidance, regular feedback, and career development support.
• Balance team workload and priorities, ensuring the team remains focused on high-impact projects while maintaining operational excellence.
• Act as a technical mentor, fostering a data-driven culture and raising the bar for analytical rigor and process automation within the team.

Strategic & Analytical Support

• Suggest and conduct quantitative, strategic commercial analyses to support initiatives aimed at increasing sales productivity and performance.
• Analyze the full sales funnel and pipeline to identify bottlenecks, opportunities, and performance drivers.
• Develop clear, actionable insights and recommendations for sales leadership and stakeholders.
• Design, implement, and continuously improve sales operations processes, ensuring they are scalable, efficient, and data-driven.

Process Automation & Excellence

• Oversee and support the automation of key commercial routines, including:
  • Target setting and quota allocation.
  • Commissions calculation and validation.
  • Performance tracking and reporting.
  • Ensure consistency, accuracy, and transparency in sales data and operational metrics across the organization.

Stakeholder Management & Collaboration

• Act as a strategic partner to commercial leadership, translating business needs into analytical solutions and operational improvements.
• Collaborate closely with cross-functional stakeholders (Strategy, Pricing, BI, Marketing) to align data, processes, and objectives.
• Lead change management efforts by clearly communicating complex analyses and new processes to teams with varying levels of technical expertise.

Success Metrics

• Team development and engagement: Growth and performance of direct reports.
• Impact of analyses on commercial decision-making and business outcomes.
• Process Scalability: Quality and reliability of automated sales operations routines.
• Stakeholder satisfaction and the ability to influence cross-functional teams.

Requirements

• Proven experience in Sales Operations or related commercial excellence roles.
• Analytical skills with solid knowledge of SQL (BigQuery) and data manipulation (Excel/Google Sheets).
• Strong stakeholder management skills, with the ability to navigate complex environments and influence non-analytical audiences.
• Business Acumen: Ability to connect operational tasks to revenue growth and strategic goals.
• English Proficiency: Ability to create documents and participate in global forums with autonomy.
• Nice to have: Previous experience leading or mentoring teams.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Variable compensation (For Commercial Positions Only)
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

Overview

We are looking for a highly analytical Senior specialist, FP&A who thrives at the intersection of Corporate Finance, Strategic Analysis, and Data Engineering. In this role, you will report numbers and will be the strategic voice that interprets them.

You will bridge the gap between complex financial processes and executive decision-making. Your mission is to maintain a robust global financial data pipeline while providing deep-dive analyses that help stakeholders understand the "why" behind the results.

Key Responsibilities

• Strategic Reporting & Analysis: Lead the month-end closing analysis, providing clear commentary on variances (Actuals vs. Budget/Forecast). You will transform raw data into executive-level reports that highlight trends, risks, and opportunities for the NAMER and Global regions.
• Stakeholder Management: Act as a key finance partner for Regional Directors and Department Heads. You will translate complex technical logic and financial data into actionable insights, helping non-finance leaders manage their budgets and headcount effectively.
• P&L Architecture & Profitability: Build and optimize multi-dimensional P&L reporting. You will analyze profitability down to the Client and Departmental level, ensuring that global allocations and intercompany markups are both accurate and strategically aligned.
• Systems Integration & Automation: Develop and maintain API connections (Workday, Salesforce, Greenhouse) to automate data flow. 
• Data Ingestion & SQL Modeling: Architect complex SQL queries within BigQuery to consolidate global data. You will ensure that the "Actuals vs. Forecast" reconciliations are seamless and require minimal manual intervention.
• Process Integrity & Governance: Act as the final gatekeeper for data accuracy. You will identify logic errors or "noise" in financial models before they reach executive reviews, ensuring 100% confidence in the numbers presented to the CFO.

Technical & Professional Requirements

• Finance Foundations: Advanced understanding of P&L structures, Budgeting/Forecasting cycles, and the nuances between Management and Statutory reporting.
• Data Engineering & Scripting: Proficiency in SQL (BigQuery) is essential. Experience with Python or Javascript/Apps Script for API handling and workflow automation is highly valued.
• BI & Visualization: Proven track record of designing executive dashboards in Looker Studio (or similar) that drive strategic decision-making.
• Systems Expertise: Familiarity with ERPs (Netsuite/Lucanet) and CRM/HRIS tools (Salesforce, Workday, Greenhouse).
• Advanced English.

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Estamos em busca de talentos para construir o futuro da nossa plataforma de dados

Estamos construindo a próxima geração da nossa plataforma de dados, com foco em escalabilidade, segurança e autonomia para as áreas de negócio. Essa evolução vai além da tecnologia: envolve também a integração entre os times do PAN e BTG, criando uma plataforma única que conecte organizações e potencialize a colaboração. Se você gosta de desafios complexos, arquitetura robusta e impacto direto na tomada de decisão, essa vaga é para você.

Principais desafios:

• Atuar junto a times de Engenharia de Dados e áreas de negócio de canais digitais a fim de arquitetar, implementar e gerenciar pipelines de Big Data;
• Desenvolver fluxos de ingestão de dados e construção de tabelas analíticas para o consumo de outras áreas de tecnologia e de negócios;
• Fazem parte das atividades diárias da área a utilização de tecnologias como: AWS cloud (S3, EMR, EC2, Athena, Lambda, Kinesis, Redshift, etc), Google Cloud (Bigquery, Cloud Function, Storage, Logging, Scheduler, Dataflow, Pub/Sub, Compute Engine, etc), outras ferramentas de Big Data (Airflow, NiFi, Kafka, Spark, Hive, Presto, etc), Python e SQL

Quais as principais competências para a posição?

• Ser uma referência técnica em Engenharia de Dados para o time
• Contribuir com ideias e soluções para reduzir complexidades
• Procura entender as prioridades do time e das demais áreas para propor soluções técnicas
• Organizado com suas tarefas e atento aos alinhamentos do time interno
• Procurar constante aperfeiçoamento e buscar aprender novas ferramentas/técnicas visando eficiências
• Conhecer, respeitar e observar os processos e boas práticas da área para a sua atuação
• Cultiva bons relacionamentos dentro e fora da área e é solícito ao ser procurado para ajudar

Modelo de atuação: Híbrido (2 dias presenciais no escritório e 3 dias home office).

Benefícios do PAN:

• Bônus / PLR 
• Vale Refeição 
• Vale Alimentação 
• 13º de Vale Alimentação 
• Convênio Médico (internação em apartamento para titular e dependentes) 
• Convênio Odonto/Ortodôntico 
• Ambulatório Médico no escritório 
• Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 
• Seguro de Vida 
• Descontos em mais de 10 mil farmácias 
• 4 Sessões de psicoterapia por mês 
• Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 
• Auxílio Creche / Babá 
• AcomPANha (programa de acompanhamento para gestantes) 
• Wellhub/Totalpass 
• Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 
• Programas de desenvolvimento 
• Massagem e Auriculoterapia
• Salão de beleza no escritório 
• PAE (Orientação Jurídica, Financeira, Psicológica e Social) 
• Portal de descontos em diversos segmentos (Allya) 
• Campanha de vacinação (colaborador e dependente) 
• Facilitação no financiamento de veículos (Mediante análise)  
• Cartão de crédito PAN com limite diferenciado (Mediante análise) 
• Vale Transporte (desconto de apenas 4%) 
• Assistência Funeral 

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world's most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

HG Insights runs data infrastructure across three organizations, two clouds, and sixteen database and caching technologies. As we scale, we're consolidating database ownership under Platform Engineering. This role leads that function.

You will be the first database specialist on our DevOps team; embedded, not siloed. You'll own the full database portfolio: operational health, security posture, cost optimization, and the migration work required to modernize our data layer. As you build the practice, you'll cross-train DevOps engineers so the capability compounds beyond one person.

This is a Senior/Staff individual contributor role. You will set direction on database strategy and own its execution. The team you're joining manages 140+ IaC repositories across AWS, GCP, and Kubernetes.

Job Overview 

_{What You'll Own}

Database ownership across the portfolio

• Primary operator for PostgreSQL (RDS, Aurora, Cloud SQL, NeonDB), MySQL, Redshift, ClickHouse, Elasticsearch, OpenSearch, MongoDB Atlas, and Databricks
• Caching layer ownership: ElastiCache Redis, Dragonfly, Valkey
• Version management and patching across a multi-repo Terraform estate; coordinate EOL remediations across AWS and GCP
• Establish backup, recovery, and DR standards across all managed data layers

Migration and modernization

• Lead Elasticsearch modernization; approved architecture, ready to execute
• Lead ClickHouse stabilization and standardization
• Phoenix data repatriation: move third-party-hosted data in-house as Phoenix migration progresses
• NeonDB consolidation evaluation

Performance and cost

• Own database cost optimization across the portfolio: capacity planning, rightsizing, reserved instance and savings plan recommendations
• Query analysis, slow query identification, connection pool tuning
• Identify and execute on addressable savings in the database infrastructure spend

Platform integration

• Terraform and Terraform Cloud for all database infrastructure; standardize configurations across a fragmented estate
• ArgoCD and Kubernetes (EKS, GKE) for database workloads running in-cluster (Elasticsearch, ClickHouse, Dragonfly)
• GitHub Actions CI for database migration testing and backup validation
• Build and own the database observability layer in Datadog: dashboards, monitors, slow query alerting, replication lag, connection saturation

Collaboration with application engineering

• Partner with application engineering teams on database design, schema changes, query optimization, and technology selection; you are the subject matter authority they escalate to
• Establish and maintain standards for how application teams interact with the data layer: migration tooling, connection management, index design review, and capacity requests
• Own the feedback loop between application performance and database infrastructure; connect slow query data to engineering teams who can act on it

Cross-training and knowledge transfer

• Structured cross-training with the DVO team so database operational capability isn't concentrated in one person
• Document operational runbooks, incident response procedures, and capacity planning models

What We're Looking For

• 5+ years of hands-on database administration or database engineering; not theoretical
• Deep PostgreSQL expertise: replication, vacuum tuning, connection pooling (PgBouncer/PgCat), index strategy, major version upgrades
• Elasticsearch operational experience at scale; index lifecycle management, shard sizing, snapshot/restore, Kubernetes-hosted clusters
• ClickHouse or columnar database experience is a strong plus
• AWS RDS, Aurora, Redshift, ElastiCache; day-to-day operations, not just provisioning
• Terraform and Terraform Cloud; you will be reading and writing IaC on day one
• Kubernetes (EKS or GKE); database workloads run in-cluster and you need to be comfortable there
• Python or Bash scripting; maintenance windows, backup validation, migration tooling
• Migration experience; schema migrations, cross-engine moves, zero-downtime cutover strategies
• Datadog or equivalent observability tooling

Nice to have

• BigQuery, DynamoDB, or Databricks administration
• Redis/Valkey/Dragonfly at production scale
• MongoDB Atlas administration
• Cloud cost optimization (reserved capacity, savings plans)

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

We are seeking a Senior Data Engineer with a strong background in data engineering, ideally with hands-on experience in Google Cloud Platform (GCP) services such as Pub/Sub, Dataflow, and BigQuery. The ideal candidate will have solid proficiency in SQL and Python, along with familiarity in moving and transforming data across cloud-based data zones and streaming pipelines (ETL/ELT). Comfort with cloud services, data management, automation tools, and real-time data processing is essential. 

Role responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines  
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines  
• Provide consultation and lead the implementation of complex programs  
• Develop and maintain documentation relating to all assigned systems and projects  
• Tune queries running over billions of rows of data running in a distributed query engine  
• Perform root cause analysis to identify permanent resolutions to software or business process issues
• Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
• Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs.
• Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy.
• Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong expertise in:   
  • Python - for building data pipelines, processing tasks, and automation  
  • SQL - Advanced SQL capabilities (nested fields, analytic functions).  
• Hands-on experience with Core GCP Data Stack:  
  • BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery for advanced SQL, performance tuning, partitioning and clustering strategy, and production-grade curated marts and feature tables; working knowledge of BQML for scoring and evaluation in analytics workflows. 
  • Dataflow (Apache Beam)
  • Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns (windowing/watermarks/triggers) used when near-real-time alerting is required.
  • Pub/Sub: Experience with event-driven architecture and message queuing.  
• Hands-on experience with Visualization & BI:       
  
  • Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax.  
  • Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization.  
  • Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (paid search performance monitoring, anomaly triage, and optimization workflows) and Executives (ROAS, conversion efficiency, budget pacing, and channel contribution reporting). 
• Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery.
• Advanced English skills 

Nice to have qualifications  

• Google Cloud Professional Data Engineer certification  
• Google Professional Machine Learning Engineer certification  
• Google Cloud Professional Cloud Architect certification  
• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics)    
• Working knowledge of cloud architecture components in GCP  
• Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc.  
• Proficiency in Terraform  
• Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL)    
• Experience leading and managing technical data/analytics/machine learning projects    
• Experience supporting data products consumed by conversational analytics surfaces (BigQuery/Looker query routing, audit logging, and row-level access patterns).

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Location: Brazil

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

You Will:

• Analyze complex revenue, margin, CTR, conversion rates and other financial metrics;
• Interact (in a clear and effective way) with different business areas and teams;
• Execute complex seasonal studies and help to create relevant client-oriented material;
• Maintain complex reports in support of Account Management and Sales teams;
• Help Account Management and Technical Support teams with campaign optimization and strategies, providing on-demand analysis.

Desired Experience: 

• Bachelor’s degree or higher in Mathematics, Computer Science, Engineering, Statistics, and related fields;
• Professional experience as a Data Analyst, Business Intelligence or similar;
• Programming experience (Python, R, Scala, etc.);
• Experience querying data with SQL;
• Experience with Google BigQuery is a plus;
• Experience with Digital Marketing is a plus. 

We Offer: 

• An attractive salary and benefits package, including language subsidies, Gympass and the possibility to participate in bonus programmes according to the rules established by RTB House.
• Good work-life balance. 
• Work from home, from the office, hybrid… it is up to you!
• Unique opportunity to join a creative, fast growing company in online advertising.
• Opportunity to work in a truly international environment. 
• Product that actually works, 99% retention rate and based on the newest AI Technology (Deep Learning). 
• The joy of working and learning in one of the fastest growing tech companies in Europe (FT - 8th Europe's fastest-growing company 2020 / Deloitte Fast 50 Second Year Running). 
• A rewarding career in a high energy and inspiring atmosphere with no corporate habits. 
• The opportunity to participate in ambitious projects in a growing international organization.

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Information for Applicants: Brazil

Location: Brazil

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. 

You Will:

• Analyze revenue, margin, CTR, conversion rates and other financial metrics;
• Interact (in a clear and effective way) with different business areas and teams;
• Execute seasonal studies and help to create relevant client-oriented material;
• Maintain reports in support of Account Management and Sales teams;
• Help Account Management and Technical Support teams with campaign optimization and strategies, providing on-demand analysis.

Desired Experience: 

• Bachelor’s degree or higher in Mathematics, Computer Science, Engineering, Statistics, and related fields;
• Professional experience as a Data Analyst, Business Intelligence or similar;
• Programming experience (Python, R, Scala, etc.);
• Experience querying data with SQL;
• Experience with Google BigQuery is a plus;
• Experience with Digital Marketing is a plus. 

We Offer: 

• An attractive salary and benefits package, including language subsidies, Gympass and the possibility to participate in bonus programmes according to the rules established by RTB House.
• Good work-life balance. 
• Work from home, from the office, hybrid… it is up to you!
• Unique opportunity to join a creative, fast growing company in online advertising.
• Opportunity to work in a truly international environment. 
• Product that actually works, 99% retention rate and based on the newest AI Technology (Deep Learning). 
• The joy of working and learning in one of the fastest growing tech companies in Europe (FT - 8th Europe's fastest-growing company 2020 / Deloitte Fast 50 Second Year Running). 
• A rewarding career in a high energy and inspiring atmosphere with no corporate habits. 
• The opportunity to participate in ambitious projects in a growing international organization.

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Information for Applicants: Brazil

• Monitor, maintain and support Optimove’s production environment.
• A key person for integration projects and requests from customers (data and application-oriented).
• Investigate and debug ETL processes.
• Conduct data QA and analysis (Snowflake, MsSQL, BigQuery).
• Perform configuration management.
• Create robust and scalable processes.
• Communicate directly with customers to solve technical issues.

• Experience in a similar customer facing role.
• Proficient in written and spoken English.
• Outstanding technical skills.
• Experience with SQL.
• Fast learner looking to be exposed to, and to work with, new technologies.
• Strong interpersonal and communication skills.
• Team player with self-learning and problem-solving abilities.
• Agile, highly motivated, exceptional work ethics, ambitious, a super-multitasker and with a sense of responsibility to follow through on tasks.
• You should be able to talk about technology, even with non-technical people in a clear and coherent way.
• Ability to learn quickly in a fast-pasted environment, and come up with creative ideas for improvements.
• Technologies fascinate you – you must be familiar with software technologies (such as web and mobile SDK, APIs, SQL, JSON, HTML, JavaScript).
• Strong attention to details and ability to effectively articulate technical challenges and solutions. 

• Experience working with enterprise-grade customers.
• Experience debugging issues in web applications – logs, networking, etc.
• Experience with monitoring tools (DataDog, Kibana, Elastic).
• Understanding of networking terminologies and functionality such as DNS, http, ports etc.
• Experience in SaaS B2b.

This is a on-site position, based in São Paulo (SP) OR Campinas (SP).

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

What you'll do:

Management routine

• Manage and lead a high-performance team of Data Analysts and Analytics Engineers (8 to 10 resources).
• Work with product leaders, engineering, and commercial strategy to form a unified data-driven strategy.
• Support analysis request prioritization with stakeholders and Data Product Managers (DPMs).
• Actively balance team leadership efforts with practical development/coding of data products, metrics, and visualizations to drive business.

Technical routine

• Review to verify that best practices have been followed for high-quality products, recommend appropriate data sources and models, ensuring scalability and high reuse.
• Drive the business strategy by providing insights into current performance and highlighting areas of opportunity for growth. To do this, conduct advanced data analysis, statistical modeling, and machine learning models to answer specific business questions, extract insights and predictive patterns from large datasets to explain and expose potential opportunities from the data.
• Develop data sets/schemas consuming data from multiple sources such as internal databases, analysis tools, unstructured sources, and other external sources.
• Demonstrate a solid understanding of complex data models, data structures, and best practices for data governance to support the data platform team in definitions and executions following best practices appropriate to use cases.

What you'll need:

• Bachelor’s degree completed in Information Systems, Data Science and Analytics, Mathematics, Statistics, Computer Engineering, or other data-related fields, with a strong foundation in Statistics.
• Prior experience in technical management of Data Analyst or Analytics Engineering teams.
• Advanced English is mandatory - will work with a global team.
• Experience with B2B portfolio management would be a big plus.
• Expertise in database query and reporting tools (SQL + Power BI + DAX).
• Effective skills in programming languages (Python, PySpark, SQL).
  
• Strong experience designing and maintaining CI/CD pipelines, using Git for code versioning, and actively participating in code review practices.
• Strong experience with relational (SQL) and non-relational (NoSQL) database technologies.
• Prior experience in cloud data solutions (e.g., Databricks, Redshift, BigQuery, Teradata, Snowflake) and cloud platforms such as AWS and Azure.
• Experience in analyzing data to identify key insights, gaps, and inconsistencies.
• Familiarity with the Systems Development Life Cycle and Agile Methodology.

Soft Skills:

• Effectively communicate complex technical concepts and analytical insights to non-technical stakeholders and senior leadership.
• Promote collaboration and a productive work environment by sharing knowledge and experience with direct subordinates.
• Proven ability to seek unconventional solutions, explore opportunities, and develop innovative solutions.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

A WPP Media é o coletivo global de mídia da WPP. Em um mundo onde a mídia está em todo lugar e em tudo, reunimos as melhores plataformas, pessoas e parceiros para criar oportunidades ilimitadas de crescimento. Para mais informações, visite wppmedia.com.

Na WPP Media, acreditamos no poder da nossa cultura e das nossas pessoas. É isso que nos eleva a entregar experiências excepcionais tanto para nossos clientes quanto uns para os outros.

Descubra a EssenceMediacom: Uma agência focada em mídia inovadora que combina o melhor da ciência de dados, tecnologia e criatividade para impulsionar o crescimento de marcas líderes globais. Com uma abordagem centrada no ser humano e um compromisso com a excelência, a EssenceMediacom está redefinindo o futuro da mídia.

Descrição da Vaga

Estamos em busca de uma pessoa Analista de BI Sênior para integrar nosso time e atuar de forma estratégica na intersecção entre dados e mídia. Procuramos alguém com perfil híbrido, unindo sólido conhecimento técnico-analítico com profunda compreensão do ecossistema de publicidade digital. Você atuará com bastante autonomia, liderando a construção de soluções de dados, gerando insights de campanhas globais e sendo uma referência técnica e estratégica para a equipe e nossos clientes.

Responsabilidades e Atribuições: 

● Gestão de Dashboards: Liderar a criação, manutenção e evolução de dashboards e relatórios automatizados complexos (ex.: Looker Studio), garantindo visões executivas e operacionais para monitoramento de KPIs de mídia.
● Tratamento de Dados: Estruturar e liderar a extração, limpeza e cruzamento de dados de diversas plataformas (Google Ads, Meta Ads, etc.) via Adverity e Google BigQuery, garantindo a governança, consistência e confiabilidade dos números.
● Documentação: Definir, estruturar e manter a documentação das arquiteturas de dados, processos de coleta e regras de negócio utilizadas nas relatorias.
● Validação e Acurácia: Desenvolver e manter rotinas de auditoria avançadas para garantir que não haja divergências entre as plataformas de mídia e os relatórios entregues aos clientes.
● Colaboração e Estratégia: Atuar lado a lado com os times de mídia e clientes, não apenas entendendo as necessidades de mensuração, mas conduzindo apresentações de resultados, interpretando o desempenho e sugerindo otimizações acionáveis.
● Apoio à Equipe: Atuar como referência e mentor(a) técnico(a) para analistas juniores e plenos, apoiando na resolução de problemas complexos e elevando a régua analítica do time.

Requisitos e Qualificações (Hard Skills):

● Google Sheets / Excel Intermediário à Avançado: Domínio de manipulação de grandes bases de dados, integrações e funções complexas para análises ágeis de negócio.
● Linguagem SQL e BigQuery: Conhecimento intermediário (ou básico com alto potencial e rápida curva de aprendizado) para construção de consultas, manipulação de dados e cruzamento de tabelas diretamente no banco de dados.
● Forte Contexto de Mídia Digital: Sólida experiência com ferramentas de compra de mídia e profundo entendimento de métricas de Marketing Digital (CPM, CPC, Conversão, ROAS, Atribuição). Capacidade de conectar o comportamento da campanha com os dados.
● Ferramentas de Visualização: Forte experiência prática com ferramentas de Data Viz (Looker Studio preferencialmente, Power BI ou similares) voltadas para relatoria de performance.
● Raciocínio Lógico Estratégico: Capacidade de estruturar problemas não formatados, entender a lógica de "causa e efeito" em cenários multi canais e propor soluções baseadas em dados.
● Inglês Intermediário a Avançado: Capacidade de leitura técnica, escrita e segurança para participar de reuniões e apresentações (muitas ferramentas, documentações e clientes demandam o idioma).

Habilidades Comportamentais (Soft Skills):

● Autonomia e Visão Estratégica: Proatividade para buscar ativamente novas fontes de dados, melhorias de processo e não depender apenas de demandas estruturadas.
● Comunicação Sênior: Excelente articulação para traduzir "dados técnicos" e análises complexas em narrativas claras e persuasivas para lideranças, clientes e times de mídia.
● Organização e Resiliência: Capacidade de gerenciar múltiplas entregas e manter a integridade de dados em um ambiente dinâmico de agência.

Diferenciais (O que brilha os olhos):

● Estudos de Incrementalidade e Mensuração Avançada: Compreensão teórica ou prática de metodologias como Brand Lift Studies (BLS), Conversion Lift (CLS), MMT (conhecido também como Geo-lift) e MMM.
● Automação e uso de IA: Experiências ou cases com uso de IA, seja com automação de alguma tarefa manual ou suporte para conclusão de atividades.
● Programação: Conhecimentos intermediários/avançados em linguagens como Python ou R para análises preditivas, automação de tarefas e modelagem de dados.
● Hands-on em Mídia: Experiência prévia operando diretamente as plataformas (já ter configurado campanhas no Google/Meta).

Aqui, acreditamos no poder das diferenças. Nosso compromisso com a diversidade está no jeito como enxergamos o mundo, nas relações que cultivamos e nas histórias que queremos construir juntos. Valorizamos perspectivas diversas porque elas enriquecem nosso trabalho, nos desafiam a evoluir e nos tornam mais criativos, humanos e justos. Todas as pessoas são bem-vindas no nosso processo seletivo, independentemente de raça, identidade de gênero, orientação sexual, deficiência, origem ou crença.

Why this Role Exists

At Blip, data doesn’t just inform decisions, it powers experiences. Every message, transaction, and insight flows through our data ecosystem, and we’re scaling it to handle billions of daily events with sub-second intelligence.

We’re looking for a Staff Data Engineer to shape and evolve the backbone of our real-time data processing layer, someone capable of designing and building data-intensive systems that serve as the foundation for analytics, AI, and intelligent automation at global scale.

Your Mission

You’ll design and implement streaming and batch data systems that move and transform information reliably, efficiently, and transparently across Blip’s platform.

You’ll champion data modeling excellence, ensuring the data we produce is high-quality, discoverable, and ready for real-time consumption — by both humans and machines.

Key Responsibilities

Data Engineering & Pipeline Architecture

• Design, implement, and optimize high-throughput, low-latency data pipelines capable of processing billions of events per day.
• Build scalable data ingestion and transformation frameworks leveraging Kafka, Flink, Spark, Airflow, Beam, and/or GCP related data engineering technologies.
• Ensure fault-tolerance, exactly-once semantics, and replayability in all event processing flows.
• Establish reusable patterns and accelerators for pipeline development, deployment, and monitoring.

Modeling & Storage Design

• Design data models across streaming, analytical, and serving layers (Bronze/Silver/Gold, event sourcing, CDC, and dimensional schemas).
• Partner with Data Architects to evolve domain-driven data models ensuring semantic alignment and traceability from source to consumption.
• Implement optimal partitioning, clustering, and indexing strategies for performance and cost efficiency across Databricks, BigQuery and other storage & processing engines.
  
  

Reliability, Quality & Observability

• Embed observability, lineage, and data quality validations into every pipeline.
• Define and enforce SLAs and SLOs for data delivery, freshness, and accuracy.
• Collaborate with Platform Engineers to integrate metrics, alerts, and self-healing mechanisms for critical data flows.

Collaboration & Leadership

• Act as a technical leader within the Data Engineering team: leading design reviews, conducting architecture spikes, and mentoring engineers.
• Work closely with AI, Platform, and Product teams to deliver event-driven capabilities that power intelligent products in real time.
• Promote craftsmanship, performance, and simplicity as core engineering values.

What We’re Looking For

Experience

• 6+ years in Data Engineering, Software Engineering, or Distributed Systems roles.
• Proven experience building and operating data-intensive and streaming systems in production.
• Hands-on experience with Apache Kafka, Flink, Spark Streaming, Databricks & GCP related data engineering technologies.
• Strong understanding of event-driven architectures, change data capture (CDC), and real-time data modeling patterns.
  
  

Technical Foundations

• Proficiency in Python or PySpark, and solid command of SQL.
• Experience with cloud-native data services (GCP, Azure, or AWS) and workflow orchestration (Airflow/Composer).
• Deep understanding of data modeling and storage formats (Delta, Parquet, Avro).
• Experience with CI/CD for data pipelines, testing frameworks, and infrastructure automation (Terraform).
  
  

Bonus Points

• Experience with event sourcing or CQRS-style systems for transactional and analytical data flows.
• Knowledge of feature store architectures, real-time machine learning serving, or agentic data pipelines.
• Contributions to open-source streaming frameworks or performance optimization initiatives.

Informações adicionais

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 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 Careers at Nu - Join our team!   

About the role

In this role, you will operate in a highly complex data environment, becoming the go-to expert on finance-related topics (controllership, treasury, credit risk, liquidity, capital, FP&A, etc.) within Internal Audit. You will routinely navigate large-scale, distributed data sources, connect information from multiple domains, and translate it into clear insights for the audit agenda.

As part of the Internal Audit, you will primarily work on audits, while also helping the team strengthen continuous auditing and predictive risk monitoring. This involves using data to identify patterns, outliers, and emerging risks, and then transforming those findings into actionable recommendations.

As products continue to grow within the company, the exposure to regulatory risks increases proportionally. Your pivotal role will be crucial in understanding how Internal Audit can support he company's healthy expansion by providing insights into key risk exposures and mitigation

You'll be responsible for

• Navigate Nubank’s complex data landscape in finance topics, understanding how data is generated, stored, and consumed across different systems (e.g., DataBricks, BigQuery, internal tools), and using this knowledge to design and execute robust audit tests.
• Perform audits on key finance processes (accounting, credit risk, liquidity, capital, treasury, FP&A, etc.), assessing data quality, process effectiveness, and control design/operation.
• Strengthen continuous auditing by proposing and implementing data-driven routines, indicators, and automated tests that allow ongoing monitoring of key risks and controls.
• Act as the Internal Audit ambassador on finance topics, leveraging your understanding of business strategy, regulatory requirements, and emerging challenges.
• Successfully engage stakeholders at all levels of the company, promoting a collaborative and efficient environment.
• Collaborate closely with cross-functional teams to assess and enhance the effectiveness of operations and risk management processes.
• Develop and implement robust audit plans and methodologies tailored to activities.
• Prepare and present clear, concise audit reports to senior leadership, detailing findings, recommendations, and strategic improvements.
• Facilitate data-driven discussions within the Internal Audit team and across diverse business sectors and regions (BR, MX, and CO).
• Drive innovation by leveraging technology for continuous audit testing and help the team shift towards a predictive risk management approach. Check out our blog post: Reinventing Internal
• Audit by Embracing Technology.

We are looking for a person who has

• Strong data literacy and ability to navigate complex data environments.
• Knowledge of SQL/Python or another programming language, and the ability to use them to explore and validate complex data.
• Experience working with large and/or distributed datasets and understanding data structures and flows.
• Project management skills.
• Stakeholder management expertise.
• Proficient in risk management strategies.
• Experience in internal or external auditing, preferably in the financial sector.
• Problem-solving skills, coupled with effective communication and negotiation capabilities.
• Intermediate English.

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

Our Nu Way of Working

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. 

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

Role

The financial market is being reinvented within conversations.
With solutions such as Blip Payments, Checkout, and Cred, we are not just integrating acquirers and payroll-deducted credit into the conversational ecosystem; we are building the first AI agents focused on payments within WhatsApp.
If you bring solid experience in the financial sector and are eager to shape how thousands of people transact and access credit in an autonomous and intelligent way, this is the right challenge for you — setting the standard of excellence for this new paradigm.

Responsibilities and assignments

• Develop features and improvements to the Blip product in a secure, well-tested, and performant way
• Lead technical decisions and architectural discussions across multiple teams
• Identify and resolve technical debt that impacts multiple teams
• Advocate for improvements to product quality, security, and performance that have impact across teams
• Define and maintain high standards for code quality, testing, and technical documentation
• Lead proof of concepts for evaluating strategic technologies
• Drive innovation with a willingness to experiment and tackle complex challenges
• Represent Blip and its values in public communication around broad initiatives
• Provide technical mentorship across teams, focusing on senior engineers' growth
• Ship large features independently and lead complex technical initiatives
• Guide architectural decisions and technical direction for multiple teams
• Lead the definition of internal standards for style, maintainability, and best practices
• Support hiring efforts through technical leadership in interviews
• Participate in on-call rotation for critical production issues
• If needed, act as Tech Lead for the squad or other projects, driving technical excellence and ensuring high code quality standards

Requirements and qualifications

• 7+ years of professional software development experience
• Significant professional experience with C# or language required by the specialty
• Solid experience with test automation tools (eg. MSTest, JUnit, NUnit, XUnit, Specflow, etc)
• Solid understanding in core web and browser concepts (eg. how the browser requests the backend server)
• Experience with observability tools like Grafana, Prometheus and APMs tools
• Solid experience using CI/CD tools to manage the development cycle
• Experience leading architecture governance processes
• Experience defining and leading RFC/ADR processes
• Demonstrated success leading teams through complex challenges
• Experience with large-scale distributed systems architecture
• Expertise in performance optimization and scalability
• Strong track record of technical leadership between areas
• Experience in defining technical strategy aligned with business objectives
• Deep expertise in system design and architecture
• Experience mentoring senior frontend engineers
• Proven ability to influence technical decisions at organization level
• Strong executive communication skills
• Experience working with stakeholders across teams
• Demonstrated ability to drive technical change
• Share our values, and work in accordance with those values
• Ability to thrive in a remote organization
• Past experience working with cloud providers (eg. Google, AWS, Azure, etc)
• Expertise in Kubernetes
• Deliver POCs to quickly identify direction and gaps in proposed architecture
• Knowledge of software design principles (SOLID, Clean Code, DRY, Twelve-Factor methodology, etc)
• Experience with development methodologies (Pair Programming, TDD, Code Review practices, etc)
• Proficiency in the English language, both written and verbal

Nice-to-have

• Previous experience with Databricks (or Google BigQuery) is an important plus for handling data within software engineering contexts.
• Experience building and maintaining observability stacks
• Experience leading architecture committees in enterprise organizations
• Experience implementing architecture review boards
• Track of successful large-scale migrations
• Experience building and leading centers of excellence

Informações adicionais

Why this Role Exists

At Blip, data doesn't just inform decisions—it powers experiences. But data at scale demands discipline: governance that enables (not blocks), costs that are predictable, and standards that accelerate (not slow down) teams.

We're migrating from Azure/Databricks to Google Cloud Platform with a clear mandate: build it right from day one. No legacy debt. No ungoverned pipelines. No cost surprises.

We're looking for a Staff Data Engineer with a rare blend: deep hands-on technical skills in data platforms plus strategic thinking in governance, cost optimization, and enablement. Someone who can turn policies into code, transform Google PSO artifacts into reusable templates, and scale best practices across domains—without becoming the "policy police."

Your Mission

You'll be the technical backbone of our Data & Analytics Center of Excellence (CoE), translating governance strategy into automation, patterns, and tooling that make "doing the right thing" the fastest and easiest path for data teams.

You'll work hand-in-hand with our Data Architect and Google Cloud Professional Services to:

• Implement governance-as-code
• Embed FinOps discipline into every pipeline, dataset, and model from day one.
• Build reusable templates, accelerators, and frameworks that scale across domains 
• Enable federated governance: empowering  teams with self-service tooling, guardrails, and observability.

Key Responsibilities

Governance Engineering & Automation

• Design and implement governance-as-code frameworks using GCP-native tools
• Build automated workflows for data classification, lineage tracking, quality validation, and compliance reporting (LGPD, GDPR, ISO 27001).
• Create reusable Infrastructure-as-Code (IaC) modules (Terraform) for governance foundations: project structure, IAM roles, security policies, audit logging, retention policies.
• Implement the Governance Seal framework: automated validation that datasets/pipelines meet minimum standards (quality, security, documentation, cost efficiency) before entering production.

FinOps for Data & Cost Optimization

• Embed FinOps best practices into CoE templates: partitioning strategies, clustering, storage classes (Standard/Nearline/Coldline/Archive), lifecycle policies, query optimization, slot reservations, autoscaling.
• Build cost monitoring and alerting for GCP data services.
• Identify, remediate and direct cost waste: unused tables, redundant pipelines, inefficient queries, over-provisioned resources.

CoE Platforms, Templates & Accelerators

• Transform deliverables (TDDs, IaC modules, pipeline patterns, KT sessions) into production-ready CoE standards: documented, versioned, tested, and reusable.
• Build a catalog of pipeline patterns and templates for common use cases: batch ingestion (JDBC, APIs, files), streaming (Pub/Sub, Kafka), CDC, data contracts, gold layer serving (fast + analytical).
• Develop self-service toolkits for Data Stewards and domain engineers: project setup scripts, data contract generators, quality rule templates, lineage visualization, metadata enrichment.
• Establish CI/CD patterns for data pipelines: automated testing (schema validation, data quality, security checks), deployment gates (Governance Seal validation), rollback strategies.

Data Modeling & Storage Design (Governance Lens)

• Design reference data models that embed governance from the start: clear ownership, semantic definitions, access policies, retention rules, lineage traceability.
• Optimize storage and compute for both performance and cost: partitioning, clustering, indexing, compression (Parquet, Avro), Delta/Iceberg table formats.
• Define standards for data contracts (schemas, SLAs, ownership, change management) and implement them as code (Avro schemas, Protobuf, dbt contracts, data validation frameworks).

Observability, Quality & Reliability

• Build data quality checks 
• Implement end-to-end data lineage (Dataplex, OpenLineage, custom metadata extraction) from source systems to analytics/AI consumption.
• Build monitoring and alerting for governance KPIs: policy compliance, data freshness, quality SLA breaches, access anomalies, cost overruns.
• Define and enforce SLAs/SLOs for data delivery, accuracy, and availability—across raw, trusted, and gold layers.

Enablement & Leadership

• Act as technical mentor and sparring partner for Data Stewards, domain engineers, and analytics teams adopting CoE standards.
• Lead design reviews and architecture spikes for governance, FinOps, and platform patterns.
• Produce playbooks, runbooks, and hands-on labs: "How to set up a governed project in GCP," "FinOps checklist for BigQuery," "Implementing dynamic data masking," etc.
• Facilitate Community of Practice sessions: share patterns, troubleshoot blockers, celebrate wins, iterate on feedback.

What We’re Looking For

Experience

• 6+ years in Data Engineering, Platform Engineering, or Data Infrastructure roles, with at least 2 years focused on governance, data quality, or platform enablement.
• Proven experience implementing data governance frameworks in production: metadata management, access control, data quality, lineage, compliance.
• Hands-on experience with FinOps for data platforms: cost monitoring, optimization, chargeback/showback models, budgeting.
• Experience building reusable frameworks, templates, or internal platforms that other engineers consume (not just one-off pipelines).

Technical Foundations

• GCP expertise (required): BigQuery (IAM, policies, partitioning, clustering, masking), Dataplex (lakes, zones, catalog, lineage, quality), Cloud Storage, Pub/Sub, Dataproc, Composer/Airflow, Cloud DLP, IAM.
• Infrastructure-as-Code: Terraform (or equivalent) for provisioning and managing GCP data infrastructure at scale.
• Programming: Strong Python and SQL; ability to write clean, testable, maintainable code for data pipelines and automation.
• Data modeling: Deep understanding of dimensional modeling, event sourcing, CDC, slowly changing dimensions, data contracts, schema evolution.
• CI/CD for data: Experience with automated testing, deployment pipelines, version control (Git), and release management for data products.
• Data quality & observability tools: Great Expectations, dbt, Dataplex Data Quality, OpenLineage, or similar.

Governance & Compliance Knowledge

• • Understanding of data privacy regulations (LGPD, GDPR) and how to implement technical controls: data classification, masking, anonymization, retention, audit trails.
  • Experience with Data Loss Prevention (DLP) tools and techniques: scanning, tokenization, redaction, de-identification.
  • Familiarity with Data Mesh or federated governance models: domain ownership, data as a product, self-serve platforms, governance as guardrails (not gates).

Bonus Points

• Experience with Azure/Databricks → GCP migrations, especially governance and cost remediation during migration.
• Knowledge of ML governance: feature stores, model lineage, experiment tracking, model monitoring, responsible AI practices.
• Contributions to open-source data governance or quality frameworks (Great Expectations, dbt packages, OpenLineage, Amundsen, Datahub, etc.).
• Experience with FinOps certification or formal FinOps programs (cloud cost management, budget forecasting, optimization strategies).
• Background in compliance audits or enterprise data governance programs (ISO 27001, SOC 2, PCI-DSS).

Why Join Us

You'll join a company with global ambitions and a highly motivated Data team at a critical inflection point: migrating to a modern cloud stack and building the governance, cost discipline, and enablement culture that will scale for years to come.

Here, you won't just implement tools—you'll architect the foundations of how Blip governs, optimizes, and democratizes data. You'll work directly with Google Cloud Professional Services, shape corporate standards, and enable dozens of engineers and analysts to build faster, safer, and smarter.

This is a rare opportunity to be the "governance engineer" who makes governance loved, not feared.

Informações adicionais

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 #BeYourselfAtWork, que valoriza a diversidade e o talento.

Com presença global nos principais centros financeiros - temos 40 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!

Como Desenvolvedor Backend Sênior, você será responsável por liderar o desenvolvimento e a
implementação de soluções robustas e escaláveis para nossos serviços backend, garantindo alta
disponibilidade, performance e segurança.

Responsabilidades:

 Desenvolver e manter serviços backend utilizando Node.js/TypeScript e Nest.js.
● Trabalhar com bancos de dados relacionais e não-relacionais para garantir a integridade e
eficiência dos dados.
● Implementar arquiteturas de microserviços e garantir a comunicação eficiente entre eles.
● Utilizar computação em nuvem, especialmente no Google Cloud Platform (GCP), para
hospedar e escalar serviços.
● Implementar programação assíncrona e mensageria utilizando RabbitMQ, Kafka, PubSub,
entre outros.
● Utilizar Docker e Kubernetes para orquestração de contêineres e garantir a portabilidade e
escalabilidade dos serviços.
● Gerenciar controle de versão utilizando GIT e colaborar em equipe seguindo metodologias
ágeis.
● Configurar processos de CI/CD com Jenkins, pipelines e outras ferramentas para garantir um
deploy contínuo e automatizado.
● Escrever testes unitários e end-to-end com Jest e Cypress para garantir a qualidade do
código.
● Utilizar BigQuery para análise e processamento de grandes volumes de dados

Requisitos:

● Experiência sólida em desenvolvimento backend utilizando Node.js/TypeScript.
● Conhecimento prático em bancos de dados relacionais e não-relacionais.
● Experiência comprovada em arquiteturas de microserviços e desenvolvimento utilizando
Nest.js.
● Familiaridade com computação em nuvem, especialmente no Google Cloud Platform (GCP).
● Experiência em programação assíncrona e uso de mensageria.
● Conhecimento em Docker e Kubernetes para orquestração de contêineres.
● Experiência com controle de versão utilizando GIT e metodologias ágeis.
● Vivência em processos de deploy contínuo com Jenkins e pipelines.
● Habilidade em escrever testes unitários e end-to-end para garantir a qualidade do código.
● Familiaridade com BigQuery para análise de dados

Diferenciais:

• Conhecimento em Python para ampliar as capacidades de desenvolvimento.
• Noções em práticas DevOps para integração e entrega contínua.
• Conhecimento em Clean Architecture e GitFlow.
• Familiaridade com princípios S.O.L.I.D. de desenvolvimento de software

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.