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

Portfolio Solutions is the team within Nu Asset Management responsible for the firm's ETFs and systematic fundos, and the allocation models behind our products and the broader Nubank ecosystem. We believe most of an investor's long-term return comes down to three things: cost, allocation, and discipline. Our job is to deliver all three at scale — which means we treat infrastructure, automation, and AI tooling as core to investment research, not as side projects.

We're looking for a quantitative analyst to strengthen our research, index construction, allocation modeling, and the platform that ties it all together.

What you'll do

• Research, design, and implement indices and systematic strategies across fixed income, equities, and derivatives — including structures such as covered calls, duration barbells, and factor portfolios
• Build and maintain multi-asset allocation models, with attention to efficient replication, tracking error control, and transaction costs
• Run rigorous backtests: no look-ahead, no survivorship, realistic costs. We don't publish a curve without out-of-sample replication
• Help build the quantitative infrastructure of the team: reusable data pipelines, backtest frameworks, monitoring dashboards, and reporting workflows on Databricks. The goal is that every model you build outlives the project it was born in
• Develop AI-powered tools for investment research: LLM-driven analysts on top of our internal datasets, agents for routine analytical tasks, copilots that compress the distance between question and answer for the whole team
• Support the launch of new ETFs — from index methodology to interactions with index prodviders, market makers, administrators, and custodians
• Read papers, replicate results, and tell apart what works from what looks like it works

What we're looking for

• Bachelor's degree in a quantitative field: engineering, math, physics, statistics, economics, computer science, quantitative finance, or equivalent
• 3+ years in quantitative research, systematic asset management, risk, or adjacent roles 
• Strong Python (pandas, numpy, scipy). Comfort writing code that other people will read, run, and extend
• Curiosity about — and ideally experience with — building production-grade analytical infrastructure: pipelines, jobs, dashboards, internal tools
• Genuine interest in applying LLMs and AI agents to quantitative work, not just as users but as builders
• Familiarity with the Brazilian market: NTN-B, IMA, Ibovespa, B3 derivatives, local ETF dynamics
• A collaborative, constructive way of working: you ask for help when stuck, you offer help when others are, you document, you review code, you disagree clearly without making it personal, and you give credit generously
• Ability to communicate quantitative results clearly — to portfolio managers, commercial teams, and ultimately to the end investor

Nice to have

• CFA, CAIA, FRM, or a graduate degree in a quantitative field
• Experience with ETFs, index replication, or benchmark construction
• Hands-on Databricks (Workflows, Delta, Unity Catalog, Databricks Apps), version control discipline, MLOps fundamentals
• Experience designing or shipping internal tools, copilots, or RAG systems

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 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 technology 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
• Interview with Recruiter
• Tech Screening
• Technical Interviews with Data Team
• Offer

About the Role
We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making. 

Responsibilities of a Data Engineer at QuintoAndar:

• Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling incredible architectures and efficient platforms;
• Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data;
• Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions;
• Responsible for the entire code development lifecycle (monitoring deployment, documentation, performance, security, adding metrics and alarms, ensuring SLO budget compliance, and more);
• Investigate inconsistencies and be able to trace the source of differences (data troubleshooting);
• Enable teams across the company to access and use data more effectively through self-service tools and well-modeled datasets;
• Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions;
• Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house;
• Contribute to defining the strategic vision, crossing team and service boundaries to solve problems;

• Advocate for the value of data analytics and engineering within the organization and fostering a data-driven culture;
• Be a reference within the chapter on technical concepts, tools, and/or best coding practices.

What we are looking for:

• Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);
• Experience with Airflow, Spark, AWS and Databricks;
• Strong foundation in software engineering principles, with experience working on data-centric systems;
• Experience with columnar storage solutions and/or data lakehouse concepts;
• Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. 
• Strong knowledge in optimizing SQL query performance;
• Experience in building multidimensional data models (Star and/or Snowflake schema);
• Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.;
• Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others; 
• Proficiency in English - our code, documentation, tools, and materials are often structured in English.
• Excellent communication skills, proactively sharing and collaborating with both technical and non-technical stakeholders to translate business needs into scalable data solutions;
• Experience as a tech/project lead or similar;
• Curiosity, detail-orientation, and thrive in a fast-paced, data-driven environment.

You will stand out if:

• You have participated in building large-scale data platforms for big data sets and teams using Big Data technologies such as Spark, Trino, Hive, Atlas, Ranger, etc.;
• Experience in building semantic layers.

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
• 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.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

About the Team

At DoorDash, people are our most important asset. We build the capability to help our leaders make more informed decisions on identifying, attracting, developing, and retaining talent. We’re looking for a Data Engineer to help us scale our analytics alongside DoorDash’s enormous growth. Come build, experiment, and grow while shaping a best-in-class data team at DoorDash.

About the Role

DoorDash is seeking an experienced data engineer to join our People Intelligence team supporting HR functions. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate. 

You’re excited about this opportunity because you will…

• Architect and engineer our data infrastructure for People data
• Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
• Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
• Support self-service analytics projects by creating secure data structures
• Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
• Ensure data integrity across all People data
• Rigorously document system requirements and configuration to build operational excellence
• Understand and identify opportunities to improve, working closely with cross-functional teams
• Train peers on new processes and functionality as needed
• Help build data governance with a single source of truth

We’re excited about you because you have…

• 5+ years of industry experience in data engineering or software engineering
• Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
• Expert SQL skills and experience writing complex queries
• Proficiency authoring Airflow DAGs
• Experience with data observability and monitoring frameworks
• Strong business thinker, able to use ‘first principles’ to solve challenging business problems at their root level
• Data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the data hence turning the data into insight

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 AB InBev

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

About ABI 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 enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.

About BEES:

As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.

Responsibilities:

• Implement ETL/ELT solutions and data integration between multiple systems and data sources.
• Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
• Collaborate with other teams to ensure data security and compliance.
• Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.

Requirements and qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
• Intermediate English;
• Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
• Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
• Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
• Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
• Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
• Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
• Understand and apply software design principles to data engineering projects.
• Apply data modeling techniques to design efficient and scalable data models.
• Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
• Use data tools for ingestion, transformation, analysis, and visualization.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and delivering quality work;
• Effective and transparent communication with other teams and coworkers;
• Communication and interpersonal skills to present and discuss cases with other involved areas;
• Autonomy in performing tasks;

Nice to Have:

• Develop and maintain APIs for data exchange between applications.
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
• Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.

Benefits:

• 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 subsides
• 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 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

About AB InBev

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

About ABI 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 enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.

About BEES:

As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.

Responsibilities:

• Implement ETL/ELT solutions and data integration between multiple systems and data sources.
• Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
• Collaborate with other teams to ensure data security and compliance.
• Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.

Requirements and qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
• Intermediate English;
• Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
• Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
• Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
• Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
• Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
• Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
• Understand and apply software design principles to data engineering projects.
• Apply data modeling techniques to design efficient and scalable data models.
• Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
• Use data tools for ingestion, transformation, analysis, and visualization.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and delivering quality work;
• Effective and transparent communication with other teams and coworkers;
• Communication and interpersonal skills to present and discuss cases with other involved areas;
• Autonomy in performing tasks;

Nice to Have:

• Develop and maintain APIs for data exchange between applications.
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
• Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.

Benefits:

• 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 subsides
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

Rules applied*

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Duration

6-month engagement with the possibility of extension.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

Role Overview

As the Smart Tasking Product Manager for ABI Markets, you will be driving the BDRs strategy behind our Smart-Tasking engine in all ABI Markets using BEES Force. You will manage the lifecycle of the markets adoption of the tool within BEES Force, ensuring that transactional and behavioral data from users and POCs are translated into actionable, high-value tasks. A critical part of your mission will be overseeing the Coins Expansion: a sophisticated rewards program that assigns value to tasks via complex data science models. You will ensure these models are properly configured and localized for diverse global markets while keeping stakeholders informed through world-class documentation and visibility tools.

Core Responsibilities

• System & Workflow Governance: Lead the Jira configuration and management for the SmartTasking pipeline across developments related to ABI Markets. You will ensure that every development, from conception to market deployment, is tracked with precision.
• Expansion: Drive the Coins Expansion initiative. This involves coordinating the roll-out of rewards models that assign value to tasks, requiring a deep understanding of how the business goals intersect with data science outputs.
• Data Visibility & Analytics: Define and lead the implementation of new dashboards, ad hoc analysis, and reporting structures. Using Databricks, SQL, you will transform raw project data into clear "visibilities" that show the health and impact of Smart Tasking across different regions.
• Market Localization & Spot Analysis: Perform "spot analysis" to identify bottlenecks or opportunities in specific markets, ensuring the Smart Tasking process is optimized for local behavioral nuances.
• Stakeholder Communication: Act as the primary bridge between the core team and BUs. You will be responsible for sharing improvements and maintaining a repository of structured, accessible documentation.

Requirements & Qualifications

• Technical Proficiency: Hands-on experience with Jira (administration/configuration), SQL, and Databricks. You should be comfortable querying data to validate project progress.
• Analytical Mindset: Ability to understand complex, data-driven products. While you aren't the data scientist, you must be able to explain how "Coins" and how the “Smart-Tasking” model work to a business partner.
• Documentation Excellence: A passion for clarity. You must be able to turn complex technical updates into structured, easy-to-digest documentation.
• Project Management Toolkit: Advanced skills in Project Management Tools for modeling and tracking, and a proven track record of managing cross-functional projects with multiple dependencies.

What a "Win" Looks Like (6 Months In)
Success in this role means you have successfully streamlined the communication loop. Your stakeholders no longer wonder "where the project stands" because your documentation is the "single source of truth." The Jira workflow is automated and efficient, and the "Coins" program has a clear, documented expansion path into new markets with full visibility on its performance.

More about the role

• Level: Manager
• Work model: On-site (São Paulo-SP)
• Hiring model: CLT

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 

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

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Duration

6-month engagement with the possibility of extension.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level

Upper-Intermediate

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to Have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Let's start with the role

Kaizen Gaming is a dynamic GameTech company focused on leveraging technology and data to provide unparalleled online gaming experiences. With a commitment to excellence and innovation, we continually push the boundaries to deliver top-tier services to our global customer base.

As the Business Intelligence Team Lead, you will be instrumental in driving data-driven decision-making across our BI Product & Operational Teams. By collaborating closely with various departments, you will understand their unique business needs, align strategies with organizational goals and empower teams to leverage data effectively.

As a Business Intelligence Team Lead you will

• Cultivate strong relationships with departments and stakeholders, understanding their daily operations and strategic objectives;
• Lead the BI product verticals along with its corresponding ops teams to deliver functional and user-friendly data products that enable business departments to make informed decisions;
• Develop growth plans for team members and create yearly roadmaps aligned with Kaizen's strategic objectives;
• Take ownership of team priorities, deliverables and planning on a frequent basis;
• Act as a Subject Matter Expert across multiple streams, providing a holistic view of business priorities, needs and strategic goals;
• Foster an agile working environment, ensuring adaptability to changing priorities while meeting yearly objectives;
• Challenge existing metrics and KPIs, collaborating with the team to develop new ones that drive business growth;
• Advocate for a robust data-driven culture within the organization.

What you’ll bring

• BSc & Master’s degree in a quantitative discipline (e.g., statistics, mathematics, economics);
• At least 3 years of experience in a similar leadership role, while exhibiting exceptional team management skills, with the ability to set priorities in an ever changing environment;
• Experience in the gaming industry will be considered a strong plus;
• Strategic mindset with the capacity to engage effectively with senior stakeholders;
• Advanced technical proficiency in SQL, Python, Databricks and visualization tools;
• Strong communication and presentation skills;
• Proven experience in stakeholder management and translating business needs into technical requirements;
• Familiarity with agile methodologies will be considered a plus.

At Kaizen Gaming, we value innovation, collaboration and continuous improvement. If you're passionate about leveraging data to drive business success and thrive in a fast-paced environment, we'd love to hear from you.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• #LI-Hybrid
• #LI-CI1

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.  

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.

Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.

What you’ll do: 

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
• Lead optimizations in database and query performance.
• ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
• Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.

• Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
• Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
• Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

What We look for: 

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
• Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
• Advanced proficiency in SQL.
• Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
• Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.

Preferred Knowledge and Skills:

• Prior experience in high-growth, data-intensive fintech or similar regulated environments.
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
• High enthusiasm for using AI to be as productive as possible.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

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)

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are seeking a highly experienced Software Development Engineer in Test (19742) with a strong background in data quality, analytics testing, and data engineering validation within the insurance industry. This role focuses on ensuring high-quality data across modern data platforms by defining, implementing, and maintaining robust testing strategies across the full data lifecycle—from raw ingestion to curated analytical layers. The ideal candidate demonstrates technical leadership, continuous improvement, and strong collaboration with engineering and business stakeholders.

Responsibilities and Duties

• Develop and maintain end-to-end dbt testing frameworks, including mocked and expected datasets across bronze, silver, and gold layers;
• Define, implement, and maintain dbt models, unit tests, end-to-end tests, and custom test cases;
• Analyze engineering and analytics requirements to determine appropriate testing scope and strategies;
• Collaborate closely with business stakeholders, Data Engineers (DEs), and Analytics Engineers (AEs) to define testing needs and ensure data quality alignment;
• Gain a deep understanding of the repositories, tools, and workflows, including VSCode, pytest, dbt, Databricks, Git, Docker, and CI/CD processes;
• Investigate failed tests, perform root cause analysis, and support defect resolution;
• Review pull requests to ensure adherence to testing standards and data quality best practices;
• Actively participate in Agile ceremonies, providing quality insights and recommendations;
• Identify opportunities for process optimization, automation, and efficiency improvements while aligning quality efforts to business value;
• Demonstrate leadership by mentoring team members and promoting best practices in Quality Engineering.

Essential Skills

• Experience in Quality Engineering, with a strong focus on data-centric testing;
• Proven experience working within the insurance industry (required);
• Strong understanding of data warehousing concepts, ETL processes, and BI platforms;
• Solid knowledge of testing strategies, the Test Pyramid, and version control systems;
• Proficiency in SQL and scripting languages such as Python;
• Demonstrated ability to drive continuous improvement across technology, processes, and people.

Highly Desirable Skills

• Hands-on experience designing and executing data validation strategies across complex data pipelines;
• Ability to translate business and analytical requirements into effective testing solutions;
• Experience supporting enterprise-scale data platforms with a strong emphasis on data accuracy, reliability, and compliance;
• Comfortable working in fast-paced, Agile environments.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are seeking an experienced Senior Salesforce Developer with Data Cloud experience to support a strategic initiative focused on reducing customer churn by integrating and enriching customer data across multiple platforms. This role will work closely with the Salesforce Architect, data engineering teams, and cross-functional partners to ingest, unify, and expose data within Salesforce CRM and Salesforce Data 360 (Data Cloud).

Responsibilities and Duties

• Lead end-to-end ingestion and mapping of customer data from Salesforce CRM, Siebel, Azure/Microsoft Fabric, Oracle, and churn model outputs into Salesforce Data 360;
• Design, build, and maintain identity and account unification rules to produce accurate customer matching and golden records;
• Create scalable, repeatable pipelines for ingestion, transformation, mapping, and controlled promotion across environments (including Data 360 data kits);
• Enrich Salesforce CRM records with Data 360 attributes and analytics/model insights (e.g., churn) using related lists, dynamic related lists, and custom UI components;
• Support CRM data strategy during the Siebel-to-Salesforce migration, prioritizing Salesforce CRM as the system of engagement as adoption increases;
• Develop and support APIs and integration services for secure internal consumption of Data 360 and CRM data; partner with architecture/engineering on integration patterns and implement ETL when native connectors don’t meet requirements;
• Monitor and optimize Data 360 credit consumption to balance cost, performance, and SLAs;
• Enable business teams to use enriched customer data for segmentation, activation, and analytics use cases;
• Document processes, standards, and runbooks; contribute to shared enablement resources to drive adoption and operational continuity. 
  

Essential Skills

• Experience with Salesforce development;
• Strong proficiency in: Apex, SOQL/SOSL, Lightning Web Components (LWC), Salesforce core data model, Salesforce APIs (REST/SOAP/Bulk), and integration design patterns;
• Hands-on experience with Data ingestion and harmonization, Identity resolution and unification rules, Data kits and environment promotion, Large-scale data processing;
• Experience connecting Salesforce Data Cloud/Data 360 to external systems (Azure/Microsoft Fabric, Oracle, Siebel, or similar), including when to use native connectors vs. custom integrations;
• Experience with ETL processes and/or tools (e.g., Informatica, MuleSoft, Talend, Databricks);
• Experience working in Agile/Scrum teams;
• Strong technical communication skills, able to translate complex concepts for architects, engineers, business users, and leadership;
• Advanced English to be in contact with customer representative on a daily basis. 

Highly Desirable Skills

• Experience with Salesforce Marketing Cloud, especially data activation and segmentation;
• Experience with Siebel CRM integration and/or data migration;
• Knowledge of telecom customer data, churn analytics, or Customer 360 implementations;
• Familiarity with Azure data engineering and Microsoft Fabric connector limitations;
• Understanding of scalable deployment pipelines and DevOps tooling (Git, CI/CD). 

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are seeking a highly experienced Data Engineer Lead to architect, develop, and deliver robust, scalable, end-to-end automation solutions. This role demands deep technical expertise across solution architecture, environment setup, deployments, observability, governance, and continuous improvement. The ideal candidate is a strong technical leader and communicator who partners closely with business stakeholders to define automation strategies and deliver high-impact, enterprise-grade solutions.

Responsibilities and Duties

• Lead and mentor a team of data engineers, providing technical guidance, code reviews, and best practices to ensure high-quality deliverables;
• Own the end-to-end data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, and optimization;
• Collaborate with cross-functional stakeholders (data, product, architecture, and business teams) to align data initiatives with organizational goals;
• Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure;
• Drive the design and implementation of infrastructure-as-code using Terraform, ensuring consistency and maintainability;
• Ensure efficient data integration between Snowflake and Azure environments, establishing robust and scalable data flows;
• Oversee data transformation frameworks using Databricks and DBT, promoting reusable and modular design patterns;
• Establish and enforce data engineering standards, governance practices, and CI/CD workflows;
• Proactively identify risks, troubleshoot complex technical issues, and implement long-term solutions;
• Lead documentation efforts for architecture, processes, and best practices across the data platform.

Essential Skills

• Experience in Data Engineering;
• Proven experience leading data engineering teams and delivering large-scale data platform initiatives;
• Strong hands-on experience with Snowflake, Azure Databricks, and DBT;
• Deep expertise in cloud infrastructure and infrastructure-as-code tools, especially Terraform;
• Extensive experience with cloud data migration projects (AWS to Azure preferred);
• Strong experience with CI/CD pipelines and Git-based version control;
• Advanced proficiency in SQL, data modeling, and ETL/ELT design patterns;
• Strong understanding of data architecture, scalability, and performance optimization;
• Ability to operate in a fast-paced, collaborative, and evolving environment;
• Mandatory experience in the insurance industry, with understanding of insurance data domains (policies, claims, underwriting, etc.).

Highly Desirable Skills

• Experience with data governance frameworks (data cataloging, lineage, quality, and observability tools);
• Knowledge of security and compliance standards relevant to insurance and financial data;
• Familiarity with streaming and real-time data processing (Kafka, Event Hubs, Delta Live Tables);
• Experience designing lakehouse architectures and implementing cost-optimization strategies;
• Exposure to multi-cloud environments and advanced automation practices.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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.

About the Role
AI Platform Team - The mission of the AI Platform team is bold: to democratize AI by empowering every Nubanker—not just Data Scientists—with safe, scalable, and accurate Machine Learning capabilities.

We are looking for a Manager who is passionate about creating solutions that push the boundaries of our current stack. You will help us move beyond basic DS work to abstract the complexities of the entire ML lifecycle—from training and deployment to serving and governance.

Why is this role open?
We are scaling. Currently, our structure has grown significantly, and to ensure the organization's health and the growth of our engineers, we are opening this position to lead a dedicated squad. You will take ownership of a team that manages the base infrastructure for the entire Data Science function at Nubank.

You'll be responsible for:
As the ML Manager for the AI Platform, you will combine technical leadership with people management. You will lead a squad of 11 Machine Learning Engineers (varying from Senior to Intern levels) and work closely with a Staff ML Engineer and a Product Manager.

• People Management: Foster a culture of feedback and growth. You will guide the development of your direct reports, conducting performance reviews and helping them navigate their careers.
• Strategic Roadmap: Translate high-level business goals into actionable technical roadmaps. You will discuss needs with stakeholders and define the "how" and "when."
• Architecture & Innovation: Explore architecture gaps and opportunities. You won't just maintain; you will challenge the team to explore complex features like scalable parallel processing and better UX for Data Scientists.
• Execution: Conduct initiatives with autonomy and diligence, ensuring we deliver value while maintaining high engineering standards.
  
  

Nubank already has well-established tools for basic Data Science work. Your challenge is to take us to the next level. You will push the frontiers of technology to handle massive scale, integrate with multiple complex systems, and democratize access to AI tools across the company.

What we are looking for
You don't need to be a hands-on coder 100% of the time, but you must have the technical depth to challenge the team and understand the ecosystem.

• Experience in Leadership: You have experience managing high-performing engineering teams, sharing feedback, and hiring/developing talent.
• Domain Expertise: Solid background in ML Engineering, AI, or Data Science, specifically with a focus on MLOps, Infrastructure, and Platform building.
• Tech Stack Familiarity: You are comfortable discussing and architecting systems involving Kubeflow, SageMaker, and Databricks.
• The "Builder" Mindset: You enjoy building software. You want autonomy to make decisions and explore edge technologies, similar to the engineering culture found in Big Tech

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/

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.

What you'll do

We're looking for a Head of Revenue Operations to serve as the strategic architect of Clara’s revenue engine. This is a high-impact leadership role designed for a systems thinker who can align our sales and go-to-market (GTM) motion. You will be responsible for building the operational foundation that allows Sales, Marketing, and Customer Success to scale efficiently, ensuring that every dollar of investment translates into sustainable growth.

Your primary responsibilities will include:

• Strategic GTM Leadership: Act as a strategic partner to commercial leaders to design and execute the GTM roadmap. You will translate long-term business goals into actionable operational workstreams, ensuring alignment across the entire customer lifecycle.
• Advanced Data & BI Architecture: Ownership of the end-to-end revenue data strategy. You will develop sophisticated modeling for TPV (Total Payment Volume), ARR, and Net Revenue Retention (NRR) to provide leadership with actionable insights and defensible forecasts.
• Full-Funnel Process Optimization: Architect and continuously refine the "Clara Operating System." This involves mapping the buyer’s journey to identify bottlenecks, automating manual handoffs between teams, and standardizing global processes for multi-market scalability.
• Revenue Tech Stack Management: Lead the strategy for our commercial technology. You will oversee the administration and integration of Hubspot, ensuring it talks seamlessly to our data warehouse and communication tools like Slack and Google Drive, while evaluating new tools (build vs. buy) through a strict ROI lens.
• Strategic Planning & Incentives: Lead complex territory mapping and quota-setting exercises. You will design and manage performance-based compensation frameworks that incentivize the right behaviors—focusing on high-quality acquisition and long-term account expansion.
• Commercial Enablement & Performance: Build the infrastructure for high performance. This includes creating data-driven playbooks, optimizing the tech-enabled onboarding process for new reps, and developing "early warning systems" to manage churn and expansion opportunities.
• AI & Automation Fluency: Build and scale automated workflows (lead scoring, forecasting, churn alerts) using AI as a core lever for operational efficiency.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves

• 8+ years of experience in Revenue Operations, Sales Operations, or related commercial operations roles.
• 3+ years in a senior leadership or director-level role with holistic ownership across Marketing, Sales, and Success.
• Deep expertise in CRMs like Hubspot or Attio, including complex workflow automation and data architecture.
• Proven experience building and scaling GTM processes in high-growth B2B SaaS or Fintech environments.
• Strong financial acumen; ability to bridge the gap between commercial activities and P&L impact.
• Excellent communication skills, with a track record of influencing decisions through data-driven storytelling.
• Adaptability to fast-changing environments and a high ownership mentality.
• Hands-on fluency with AI tools applied to revenue functions: process automation, predictive analytics, and insight generation from CRM and BI platforms.
• Experience with BI tools like Metabase, Databricks, and similar; AI and workflow automation tools like N8N;Claude for advanced data workflows and automation.
• Independent analytical skills using SQL or Python.

Nice to haves

• Experience managing operations across multiple countries, particularly in Latin America markets (e.g. Brazil, Mexico, Colombia).
• A good sense of humor.

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you'll do:

• Structure global processes and capabilities to collect Price-to-Consumer (PTC) data at scale.
• Partner with local commercial, data and personalization teams to build intelligence for defining PTC guidelines & targets at a granular level.
• Ideate, launch & evolve global capabilities to improve PTC execution ensuring pricing strategies translate effectively to the consumer level.
• Develop and scale capabilities to directly activate consumers through pricing-driven incentives, such as digital coupons and targeted promotions across regions and retailer segments.
• Support BUs & partners in structuring pricing-driven sell-out activations, balancing consumer attractiveness, retailer profitability and commercial objectives.

What you'll need:

• Bachelor’s degree in business administration, economics, statistics, engineering, or related fields.
• Proven experience manipulating databases (Databricks), SQL, and Python is a plus.
• Advanced analytical skills and AI.
• Background in working with digital products is a nice-to-have.
• Fluency in English (Spanish is a plus).
• Experience in the CPG, tech business, digital platforms or revenue management positions is desirable.
• Problem-Solving, Curiosity & Innovation Mindset
• Stakeholder Management & Influence (BUs, partners, tech, data, etc.)

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 

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

P-1412

Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.

Job Overview:

We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 8 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
• Technical Skills:  A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.
• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
• Familiarity with automation tools and CI/CD pipelines.
• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
• Career Growth: Opportunities for professional development and career advancement.
• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

P-1520

Sr. Technical Escalation Manager

Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.

The impact you will have here:

• Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieve customer satisfaction by ensuring incidents or escalations (and related cases)  are well and fully documented with the timely execution of action items.
• Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

What are we looking for?

• A minimum of 5 years of experience in customer support, escalation, SRE, or incident management is required.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
• Experience with a "Distributed big data Computing" environment,  SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
• Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
• Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

P-351

This role requires candidates to be based in or near São Paulo, Rio de Janeiro or Brasilia, Brazil.  Candidates from other locations will not be considered.

Mission:

We are looking for an experienced pre-sales professional with a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to critical accounts.

The impact you will have:

• You work with 1-5 clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

What we look for:

• Proficiency at establishing virtual customer collaboration, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• {Nice to have} - Databricks Certification

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you will do: 

• Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning algorithms for portfolio optimization, recommendations, personalization, improve business economics and insight discovery. 
• Ensure that solutions are robust, scalable, and aligned with business objectives. Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
• Architect and optimize large-scale data processing workflows on cloud platforms such as Azure, Databricks, and Spark, ensuring performance and scalability. Guide to best practices in leveraging these platforms to accelerate delivery. 
• Engage proactively with cross-functional teams—including data engineering, product management, and business stakeholders—to translate business needs into technical requirements and deliver impactful, end-to-end solutions. Foster an agile mindset, driving rapid iteration and continuous improvement. 

 Qualifications 

• Bachelor’s degree in computer science, Statistics, Engineering, Mathematics, or any quantitative field; master's or PhD is strongly preferred.
• Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact. 
• Experience mentoring and coaching data scientists, fostering skill development and knowledge sharing within cross-functional teams. 
• Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis. 
• Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. 
• Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks. 
• Good knowledge of CI/CD tools like GitHub for version control and collaboration. Familiarity with other collaboration tools is a plus. 

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 

P-1351

As a Geo Hunter Account Executive on Databricks' LATAM team, you are an accomplished sales professional experienced in selling to a multi-industry territory in Brazil. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while increasing consumption and creating new workloads in existing accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Regional Director of Enterprise Sales.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• Native Portuguese-speaker with strong English language skills.
• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 3+ years of relevant full-cycle Sales experience exceeding quotas
• Success closing new accounts and increasing consumption spend in existing customers.
• Understanding of Apache Spark™ and big data preferable
• Bachelor's Degree

Nosso modo de fazer no time

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário

• Desenvolver e executar estratégias de aquecimento para uma base de quase 2 milhões de contatos, focando em empresas SMB
• Analisar dados de comportamento e jornada para identificar os melhores momentos e canais de abordagem (WhatsApp, e-mail, LinkedIn)
• Criar e otimizar automações no Marketing Cloud para acelerar a conversão de leads frios em leads qualificados
• Fazer a ponte entre Marketing e Comercial, traduzindo necessidades e insights entre as áreas para otimizar resultados
• Monitorar e otimizar métricas de conversão, com meta de crescer a geração mensal de leads aquecidos
• Desenvolver cadências multicanal personalizadas por segmento e perfil de empresa
• Atuar como ponto estratégico, fazendo contato direto com leads para gerar interesse e agendar reuniões comerciais

Ingredientes que buscamos

• Experiência B2B Sólida: Background em geração de leads, aquecimento de prospects e ponte com áreas comerciais
• Marketing Cloud: Domínio da ferramenta para criação de automações e jornadas de relacionamento
• Perfil Analítico: Experiência com análise de dados, Databricks e capacidade de transformar insights em estratégias acionáveis
• Visão de Negócio: Habilidade para entender necessidades comerciais e traduzir em ações de marketing
• Estratégia Low Touch: Experiência com abordagens escaláveis e automação para grandes volumes de contatos
• Comunicação Multicanal: Conhecimento em estratégias de cadência via e-mail, WhatsApp, LinkedIn e outros canais
• Mindset de Crescimento: Orientação a metas ambiciosas e capacidade de acelerar processos de conversão

Sobre nós

No iFood, acreditamos na força da diversidade para gerar #Inovação e atingir #Resultados incríveis, por isso, não fazemos distinção para candidatos com deficiência, gênero, orientação sexual, raça/etnia, idade, origem, constituição familiar e estética. Temos grupos compostos por foodlovers voluntários, onde falamos sobre Raça, Gênero, LGBTQI+ e PcD. Queremos ser a empresa onde pessoas escolham como lugar para se desenvolver e contribuir para a realização de sonhos, #AllTogether.

Conheça nossas iniciativas →

Você tem fome de que?

Nós, FoodLovers, temos fome de inovação e resultado. Buscamos sempre fazer o nosso melhor, pensando "fora da caixa" e atuando com agilidade e responsabilidade! Temos fome de diversidade, conhecimento e compartilhamento. Trabalhamos em um ambiente de muita versatilidade. Sabe o que promove a nossa receita especial? As pessoas! Vem fazer parte disso🤝

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the Role

The Senior Data Scientist will be responsible for developing and leading solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models. This role involves tackling strategic challenges, combining traditional computer vision techniques with cutting-edge scene reconstruction and generative AI, focusing on detection, classification, visual similarity, synthetic data generation, and multimodal interpretation. You will act as a technical reference within the team, guiding architectural decisions and defining the best approaches for complex visual problems. You will work in a highly collaborative, global environment, transforming visual data into robust and scalable models, ensuring automation, efficiency, and high performance across implemented pipelines. We are looking for someone with an analytical mindset, curiosity, a strong technical foundation in the mentioned areas, excellent communication skills, a collaborative spirit, and a passion for innovation and continuous learning.

What you'll do

• Define and lead the technical approach for object detection solutions (e.g., YOLO, RT-DETR, and similar architectures), applying them to real-world problems with an emphasis on performance, accuracy, and scalability.
• Define and develop image classification strategies, with experience in architectures such as EfficientNet, MobileNet, and ResNet, focusing on production readiness.
• Lead the development of Siamese networks for verification and visual similarity tasks, applying fine-tuning and optimization strategies for image comparison and visual integrity validation.
• Define and apply multimodal generative and instruction-following models such as Qwen-VL, PaliGemma, and BLIP, using fine-tuning techniques like LoRA and QLoRA, focusing on image-text alignment.
• Knowledge of scene reconstruction techniques such as NeRF or Gaussian Splatting, and hands-on experience with frameworks like Nerfstudio or similar.
• Work with large volumes of visual data, coordinating curation, annotation, and qualitative evaluation strategies to ensure diversity and quality in image datasets.
• Generate and use synthetic and 3D data as complementary sources for training and evaluating models, supporting their creation and curation to enhance model generalization and robustness.
• Automate, version, and monitor training, inference, and deployment pipelines using Python, PySpark, MLflow, GitHub Actions, Docker, and CI/CD, running on cloud infrastructure (especially Azure and Databricks).
• Mentor junior and mid-level data scientists, supporting their technical growth and ensuring quality across the team's deliverables.
• Communicate technical results and trade-offs to senior stakeholders, ensuring strategic alignment of developed solutions.
• Collaborate with data engineers, data scientists, PMs, and business stakeholders, ensuring technical alignment and strategic impact of developed solutions.
• Work in an agile, global environment, participating in Scrum/Kanban ceremonies, technical reviews, and continuous delivery and learning cycles.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. A master's or PhD is strongly preferred.
• General and foundational knowledge in data science and statistics, including data analysis, modeling, and validation techniques.
• Strong background in Deep Learning, including mastery of Transformer architectures and advanced algorithms applied to real-world problems.
• Proven experience building and deploying models for object detection, image classification, visual information extraction, and multimodal interpretation.
• Proficiency in TensorFlow or PyTorch, with experience in model development and deployment.
• Experience with cloud computing, particularly Azure, Databricks, and Spark, for large-scale data processing.
• Expertise in Python and PySpark, plus familiarity with data manipulation and modeling libraries and frameworks.
• Knowledge of version control and collaboration tools such as GitHub, and experience with CI/CD pipelines for data and model projects.
• Understanding of automation workflows, model monitoring, and best practices for maintaining performance and robustness.
• Experience leading technical projects and guiding architectural decisions in data science or machine learning teams.
• Experience deploying models to production environments, including optimization and monitoring.
• Advanced English to operate in a global environment.
• Strong interpersonal skills, communication, teamwork, organization, autonomy, and focus on delivering high-quality results.

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 

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. 

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. 
•  

Se você possui experiência e tem interesse em participar de iniciativas estratégicas, cadastre seu perfil em nosso banco de talentos.

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter e Instagram: @NEORIS.
#LI-KC1

CSQ227R226

The Lead Engagement Manager delivers measurable impact for our LATAM customers in the Professional Services organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.

The impact you will have:

• Regional Impact: Drive excellence at the Region level, contributing to team-level booking targets and consumption goals.
• Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
• Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
• Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
• Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.

What we look for:

• 10+ years of leadership experience in Professional Services.
• Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
• Proficient thought leadership, increasingly viewed as an external expert in the industry.
• Participate in the hiring process to attract top-tier talent. 
• Expertise in Databricks architecture, ecosystem, and strategic account planning.
• Ability to travel up to 25-50% as required.
• Proficiency in both Portuguese and English

• 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)

FEQ227R86

Mission

Reporting to a Director, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the of Databricks’ Field Engineering team in Latam. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical  segments)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

GAQ326R449

Location: This position will be based in either San Jose, Costa Rica or Sao Paulo, Brazil.  This will be a hybrid role with in-office expectations. 

About the Role:

Databricks is seeking a qualified Attorney to join Databricks growing commercial legal team. You will be the first attorney hired to provide direct legal support to our growing commercial business in the Latin America (LatAM) region. Reporting to the Director, Assistant General Counsel, you will negotiate Master Cloud Services Agreements (MCSA), DPAs, NDAs, SOWs, and other contract terms relevant to our business (e.g., AI Terms). 

You have a minimum of 4+ years of relevant commercial legal transactional experience with direct experience operating in the LatAM region. You have meaningful experience negotiating complex SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.

What You Will Do

• Negotiate, draft, and close MCSAs with LatAM prospects and customers, ensuring compliance with data privacy, information security, and regulatory requirements.
• Partner with cross-functional teams locally and at HQ  (sales, finance, product, compliance) to drive revenue-generating transactions while mitigating risks.
• Help maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.
• Serve as a solutions-oriented legal business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of local, regional requirements, Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.
• Support company OKRs, strategic initiatives, and special projects across the legal team.

What We Look For 

• Minimum of four (4) years of technology transactions experience, either at a law firm and/or in-house Attorney role.
• Fluency in Portuguese and Spanish; native speakers preferred.
• Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.
• Demonstrated experience drafting, negotiating, and closing complex software sell-side transactions.
• Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.
• Able to prioritize competing demands and be responsive to client expectations in a fast-paced environment within a limited time period. 
• Outstanding written and verbal communication skills.
• Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.
• Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.

P-1333

We’re looking for a Business Development Representative to represent Databricks to prospective customers. This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the Sales Development Manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team.

The impact you will have:

• Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption
• Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts
• Self-starter, eager to learn and develop on solution selling, Big Data & AI
• Problem solver, strong communicator, and ability to learn technical sales
• Be customer-centric. Provide a great customer experience for Databricks’ prospective customers
• Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling

What we look for:

• 2+ years of sales or business development experience
• Ability to understand technical concepts and a genuine enthusiasm for technology
• Determination and courage to succeed and lean in to build the next best enterprise software company
• Consistent, measurable over-achievement in past experiences
• Curiosity and hunger to learn and stay up-to-date about the big data/AI industry
• Desire to build a career in technology sales
• A high degree of ownership and grit

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.

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 

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 TaDa Delivery, and table top beer keg PerfectDraft.

About the Opportunity

We are looking for a Senior Data Engineer with a software development background to lead and evolve data tracking and event instrumentation for digital products. This role focuses on building reliable, scalable, and high-quality data collection at the source, working closely with Engineering, Product, Analytics, and Data teams.

This is a hands-on senior role with strong technical ownership and influence over tracking standards and implementation practices.

What you'll do:

• Technically lead decisions related to data tracking and event instrumentation, defining standards and best practices across web and mobile applications.
• Design and implement data tracking and event instrumentation solutions for digital products.
• Work directly in application code to implement, maintain, and evolve tracking events, ensuring scalability, performance, and reliability.
• Partner with Product, Analytics, and Data teams to define events, properties, and tracking plans aligned with business objectives.
• Integrate applications with tracking tools and CDPs (e.g., Segment), ensuring secure and reliable data delivery.
• Define and implement technical validations and control mechanisms to ensure events are correctly fired and schemas remain consistent.
• Support and enforce data quality and data governance practices applied to data collection from the source.
• Investigate and resolve complex tracking issues, including broken events, data loss, and integration failures, performing root cause analysis.
• Perform impact analysis related to changes in application code, tracking events, and downstream integrations.
• Create and maintain technical documentation on instrumentation patterns, tracking standards, and data flows.
• Act as a technical reference and mentor, guiding other engineers on best practices for data tracking and instrumentation.

What you'll need:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fields.
• Solid experience as a Senior Software Engineer or Senior Data Engineer, with strong hands-on development experience.
• Proven experience with event instrumentation and data tracking in digital products.
• Hands-on experience with tracking tools / CDPs (e.g., Segment, RudderStack, Snowplow).
• Strong experience working with APIs, SDKs, and system integrations.
• Ability to analyze and debug complex technical issues related to tracking and data collection.
• Strong SQL, Python and Data Modeling 
• Working with Databricks and Git
• Experience working collaboratively with Product, Analytics, and Data teams.
• Advanced English.

Nice to Have:

• Experience with event-driven architectures.
• Familiarity with data observability and monitoring practices.
• Experience in digital products, mobile apps, or DTC platforms.
• Knowledge of privacy, consent management, and data protection regulations.
• Exposure to data platforms or analytics pipelines.
• Spanish

More about you:

• You´re passionate about software development and knows how to ensure its quality;
• You´re motivated by building up world class solutions that impacts millions of users all over the world;
• Experienced working in an environment which uses and stimulates DevOps culture;
• You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
• You can communicate clearly with your team and the company to identify issues and demands;
• You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.

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 

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the role: 

We are seeking a passionate and detail-oriented Customer Experience Specialist for Data Products to join our dynamic team. In this role, you will be responsible for enhancing the user experience of our AI-driven data products within the BEES apps ecosystem. You will work closely with cross-functional teams, including data scientists, product managers, and customer support, to ensure our AI models meet and exceed user expectations.

What you'll do: 

• User Experience Enhancement: Analyze user feedback and data to identify pain points and areas for improvement in the interaction with our AI models.
• Customer Support Collaboration: Work alongside customer support teams to address user issues related to data products, providing insights and solutions to improve user satisfaction.
• Feedback Loop Management: Establish and maintain a feedback loop with users to gather insights and continuously refine AI model performance.
• Training & Documentation: Develop and deliver training materials and documentation to help users understand and effectively utilize our data products.
• Performance Monitoring: Monitor the performance of AI models in real-time, ensuring they meet quality standards and user needs.
• Cross-Functional Collaboration: Collaborate with data scientists and product managers to influence the design and functionality of AI models based on user feedback.
• Customer Advocacy: Act as the voice of the customer within the organization, advocating for user-centric improvements to our data products.
• Stakeholder Alignment & Communication: Act as a key point of contact for stakeholder alignment, both within and outside Global Headquarters, ensuring shared understanding of metrics, results, and priorities.

What you'll need:

• Good knowledge of Business Intelligence concepts, including metrics, data models, and visualization best practices.
• Good knowledge of Customer Experience concepts, including metrics, standard processes, and best practices.
• Strong analytical profile, with experience or familiarity with Databricks, data analytics environments, and programming in SQL or Python for analytical autonomy.
• Ability to work in close partnership with Product Managers and business stakeholders.
• Advanced English to collaborate with global teams.
• Excellent verbal and written communication skills, with the ability to translate data into clear business narratives.
• Strong analytical and problem-solving skills, with a proactive approach to identifying and addressing user issues.

More about you:

• Previous experience working closely with Product, Data, Commercial, or CX teams.
• Strong business or CX acumen and a data-driven decision-making mindset.
• Experience in cross-functional environments.

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 

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you'll do:

• Root Cause Analysis on tickets after debugging and fixing.
• Maintain, and update data pipelines, ensuring accuracy, consistency, and proper structure for Vision team usage.
• Use strong SQL skills to query, validate, clean, and prepare datasets, supporting data quality and operational processes.
• Support dashboards and datasets in Power BI, ensuring data is correctly refreshed and aligned with business requirements.
• Collaborate with the Vision team to ensure data sources are up to date, structured, and properly documented.
• Follow data governance procedures, maintaining clear documentation and contributing to continuous process improvement.

What you'll need:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar.
• Experience working with data modeling and data pipeline management. 
• Advanced English (spoken and written) to effectively communicate insights with international stakeholders.
• Strong SQL skills for querying, validating, and preparing data.
• Excel advanced skills (formulas, structured data handling, validations, and organization of large spreadsheets).
• Experience with Power BI (dataset handling, simple reports, data validation).
• Detail-oriented mindset with strong commitment to data accuracy and consistency.
• Effective communication skills for interacting with partners and cross-functional teams.
• Ability to work in an operational, process-driven role with reliability and ownership.

Nice to have:

• Prior experience in data operations, data governance, or analytics support roles.
• Understanding of ETL concepts and data integration processes.
• Familiarity with the Microsoft Power Platform ecosystem.
• Basic Python skills for simple validations or data manipulation.
• Experience working with ticket management systems.
• Databricks hands on experience creating pipelines and notebooks.

More about you:

• Strong skills in crafting clear data narratives that connect insights to business strategy.
• Deep understanding of data visualization best practices, design principles, and user-centric dashboard development.
• Ability to translate complex datasets into insightful, visually compelling, and actionable reports.
• Organized and detail-oriented, with the ability to deliver high-quality work under tight timelines.
• Proactive, solution-oriented mindset with strong collaboration skills to operate effectively across cross-functional teams.

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 

Work model: On-site | Location: São Paulo/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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the role:

We are looking for a Global Sales Insights Analyst to support the commercial team through strategic analyses and actionable insights.

In this role, you will connect business needs with data visibility, helping internal teams and partners make smarter decisions and drive results. You will play a key role in defining what should be analyzed and prioritized, ensuring insights effectively influence decision making across the organization.

This is an opportunity to operate at the intersection of business, data, and strategy, working with multiple teams and playing an essential role in how partners use data to perform and grow.

What you'll do:

• Act as the owner of one of the pillars within the Sales Insights area, defining priorities and ensuring alignment with commercial strategy.
• Define, build, and evolve business metrics, dashboards, and visibility structures that support commercial performance.
• Ensure dashboards are reliable, high performing, and effectively used by stakeholders.
• Translate commercial needs into structured analyses and actionable insights, supporting decision making and driving results.
• Partner closely with Commercial, Product, Data, and Analytics teams to align business objectives with data initiatives.

What you'll need:

• Bachelor’s degree in any field.
• Experience in data, analytics, insights, or product-related roles.
• Analytical, proactive, and curious mindset, with strong communication across diverse teams.
• Strong understanding of business KPIs and experience turning data into insights.
• Experience defining metrics, dashboards, and performance visibility for business teams.
  Proficiency in Power BI, SQL, and Databricks.
• Strong organization and prioritization skills in dynamic environments.
• Stakeholder management and communication skills.
• Advanced English, Spanish is a plus.
• 100% on site role based in São Paulo.

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 

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.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

What you'll do:

• Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals.
• Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling—in partnership with data, platform, and product teams.
• Design and standardize the ML model development framework (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams.
• Build and implement observability across the model lifecycle (training and production) via monitoring, logging, and alerting for performance, quality, and drift.
• Ensure optimized deployments that minimize cost and maximize quality (e.g., scaling, resource allocation, inference optimization) while meeting SLAs.

What you'll need:

• Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus.
• Relevant experience with ML platform architecture (e.g., feature stores, model registries, training and inference pipelines).
• Systems thinking (scalability, reliability, latency, cost)
• Software design patterns for building maintainable, production-ready ML systems.
• Python, PySpark, and SQL. Java, Rust, and NodeJS are a plus
• Kubernetes, Databricks, Terraform, Azure Devops (Git), Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.) and ML Libraries (Scikit Learn, Pytorch, Tensor Flow, ONNX, etc.)

More about you:

• You´re motivated by building up world-class solutions that impact millions of users all over the world;
• You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
• You can communicate clearly with your team and the company to identify issues and demands;
• You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.

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 

Informações adicionais

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