2138 Empregos para Data engineering - São Paulo

Join to apply for the DATA ENGINEERING role at Zurich Insurance .

About Us
Zurich Insurance Company is a leading provider of insurance products and services, committed to delivering innovative solutions and exceptional customer service. Our ZCAM (Zurich Customer Active Management) team turns customer data into practical business solutions to drive the implementation of our ambitious customer strategy.

The Opportunity: DATA ENGINEER

The Data Engineer will be responsible for leading and powering data-driven decisions and leveling-up the data and analytics tools of the Zurich organization. By leveraging new technology, the ZCAM data engineering team ensures that all stakeholders in the organization can efficiently access reliable and accurate data. Data engineers will develop, implement, and refine the standards, tools, and methodologies that make up the desired analysis environment within the organization. Their expertise will help create a strong data foundation within Zurich that keeps everyone informed and moving forward.

Responsibilities

1. Defining and implementing scalable and flexible data analytics architecture based on current and future business needs mainly utilizing Databricks platform
2. Build and optimize complex data pipelines, and ETL processes for processing large-scale datasets
3. Integration, consolidation, cleansing and structuring of large data sets to enable business insights, reporting and ML/AI use cases
4. Delivering business insights by consolidating various data sources to understand business performance (e.g., sales data, customer satisfaction data, digital analytics data)
5. Sourcing, collecting and researching new internal and open-source external data sets
6. Defining and implementing data governance processes
7. Plan and prepare data engineering and analysis work between technical teams
8. Engage with business stakeholders to prepare and coordinate data sharing and data

Somos uma empresa global de tecnologia que fornece soluções de pagamento, fazemos parte da PagoNxt, o hub de pagamentos do Grupo Santander. Operando em mais de 10 países, nossa missão é imaginar, cuidar e simplificar, usando tecnologia e inovação para atender nossos clientes, desde pequenos empreendedores até grandes corporações, com soluções físicas e digitais para todos os tipos de negócios.

Vamos construir o futuro, juntos?

Estamos moldando o futuro dos métodos de pagamento, conectando comunidades e empresas de forma simples e eficaz. Essa jornada é conduzida por pessoas dedicadas a aprimorar constantemente nossas soluções. Aqui, imaginamos o amanhã, cuidamos do hoje e simplificamos o agora, construindo um futuro Wow!

Sua missão em nosso time será:

Como Data Engineering Manager você nos ajudará a conectar as frentes de produto, tecnologia e pessoas na estrutura de Data Plataform, sendo responsável pelas plataformas de missão crítica, gerenciando todo o fluxo de extrato do Brasil. Além disso, desempenhará um papel fundamental na Transformação Tecnológica : Liderando a transição de sistemas legados (Oracle, PL SQL, OpenShift ) para tecnologias modernas (Spark/Scala, SQL, Databricks, Atlas, Kubernetes ), garantindo a continuidade dos negócios e a minimização de riscos.

Principais desafios:

• Liderança e Inspiração: Liderar equipes de desenvolvimento de tecnologia, fornecendo orientação técnica e liderança eficaz, incluindo acompanhamentos de 1:1s, construção de PDIs e gestão orçamentária.
• Colaboração com Stakeholders: Trabalhar com stakeholders internos e externos para entender necessidades e expectativas, garantindo a entrega de soluções tecnológicas eficazes.
• Cultura de Inovação: Desenvolver e promover uma cultura de inovação, colaboração e aprendizado contínuo dentro da equipe.
• Fornecer informações de conciliações para pequenos, médios e grandes comércios | Extratos online e regulartório/bandeiras/BACEN.

O que é necessário pra se inscrever:

• Gerenciamento de Mudanças Organizacionais: Forte habilidade para gerir mudanças e inovação dentro da organização.
• Gestão de Riscos: Experiência em identificar e gerenciar riscos.
• Conhecimento em Arquitetura de Software: Sólido conhecimento em padrões de arquitetura de software e engenharia de software.
• Experiência em Gestão de Times Técnicos: Experiência comprovada em liderar equipes técnicas.
• Gestão de Stakeholders: Habilidade para gerenciar stakeholders complexos.
• Inglês Avançado: Proficiência em inglês.
• Conhecimentos em Cloud: Experiência com tecnologias de nuvem e migração de sistemas legados para plataformas de nuvem (AWS, Azure, Google Cloud).
• Conhecimentos Técnicos: Conhecimento sólido em ORACLE, PL SQL, SQL, JAVA, DATABRICKS, SPARK/SCALA e API´s.
• Integração de Sistemas: Experiência em integrar novos sistemas com infraestruturas existentes, garantindo a interoperabilidade e a eficiência operacional.

Requisitos desejáveis:

• Experiência em Empresas de Adquirência/Tecnologia: Experiência prévia em empresas de adquirência ou tecnologia.
• Experiência com Fluxo de Extrato Financeiro: Familiaridade com o fluxo de extrato financeiro.

NOSSOS BENEFÍCIOS:

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.

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.

• You will lead a team of data engineers to deliver world-class safety solutions
• Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
• Recruit, encourage, and grow a top-notch engineering team
• Develop systems and software to bring world class safety to global BEES

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Design and develop data pipeline architectures for advanced analytics, machine learning, and real-time data processing.
• Innovate techniques to optimize data pipeline performance, efficiency, and reliability.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Analyze design requirements and constraints to identify optimal solutions for data and software architecture.
• Design scalable, reliable, and performant systems that meet business needs based on architecture requirements.
• Apply data quality assessment techniques such as data profiling, cleansing, and validation to identify and correct data quality issues.
• Implement monitoring and logging architectures for visibility and analysis of system performance and security.
• Analyze CI/CD pipeline configurations and logs for issue diagnosis and optimization opportunities.

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;

• Significant experience building and operating critical high-scale systems
• Good software engineering methodology: meaningful and deeply rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
• Understand principles and assumptions of different machine learning capabilities.

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

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.

In 2021, Poatek was acquired by WillowTree, an award-winning digital product consultancy recognized as one of the fastest growing and best places to work in the United States. Now a TELUS Digital company , with offices across the globe, we continue to partner with the world’s leading brands, such as the FOX, Capital One, HBO, PepsiCo, Domino’s and more, to design, build, and transform their digital products and strategies. We’re looking to grow our Poatek offices in Brazil with top talent excited to collaborate with team members across the globe to deliver innovative solutions for our clients.

This is a hybrid role. This model requires the ability to work in a hybrid mode from one of our offices inSão Paulo (2 times/ week or 8 days/ month) orPorto Alegre (3 times/ week or 12 days/ month). Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.

WillowTree is seeking a proficient GenAI Engineer passionate about the technology, and ready to implement research concepts into tangible and production-ready solutions for our global clients. As a GenAI Engineer, you will be instrumental in applying and integrating generative AI models to enhance digital products, while also applying best coding, testing, and monitoring practices, making AI accessible and valuable in a real-world context.

• Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
• Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
• Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
• Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
• Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
• Understand and properly apply Responsible AI concepts in all the stages of the solution.
• Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
• Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
• Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.

• Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
• Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
• Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
• Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
• Experience building and testing a server-side platform for API development and orchestration.
• Is proficient in the Python language and understands the trade-offs between multiple frameworks and patterns.
• Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
• Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
• Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
• Strong collaboration skills and ability to work alongside developers from multiple different areas.
• Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

• Are comfortable collaborating and communicating with teams and clients to deliver software in an agile environment
• Think of the product you are building as part of an ecosystem of development, testing, and deployment tools and processes
• Pride yourself on your work and take responsibilities and commitments seriously
• Value daily opportunities to immerse yourself deeply in your work
• Celebrate differences and thrive in an environment where everyone’s unique contributions are encouraged
• Value a feedback culture that fosters personal and professional growth

In addition to being part of aninternational andinnovative consultancy company,you will have:

• Flexible hours and autonomy
• Work with cutting edge technologies
• Partner with global and relevant brands in the market
• Collaborative team and learning ecosystem

Some of our benefits:

• Health and dental plan
• Life insurance
• Monthly voucher for meals, culture, education, health and mobility
• Child care assistance and more!

Equality is a principle here at Poatek. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing those information with us.

For more information on how we use your information, see our Privacy Policy.

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Somos uma empresa global de tecnologia que fornece soluções de pagamento, fazemos parte da PagoNxt, o hub de pagamentos do Grupo Santander. Operando em mais de 10 países, nossa missão é imaginar, cuidar e simplificar, usando tecnologia e inovação para atender nossos clientes, desde pequenos empreendedores até grandes corporações, com soluções físicas e digitais para todos os tipos de negócios.

Estamos moldando o futuro dos métodos de pagamento, conectando comunidades e empresas de forma simples e eficaz. Essa jornada é conduzida por pessoas dedicadas a aprimorar constantemente nossas soluções. Aqui, imaginamos o amanhã, cuidamos do hoje e simplificamos o agora, construindo um futuro Wow!

Sua missão em nosso time será:

Como Data Engineering Manager você nos ajudará a conectar as frentes de produto, tecnologia e pessoas na estrutura de Data Plataform, sendo responsável pelas plataformas de missão crítica, gerenciando todo o fluxo de extrato do Brasil. Além disso, desempenhará um papel fundamental na Transformação Tecnológica : Liderando a transição de sistemas legados (Oracle, PL SQL, OpenShift ) para tecnologias modernas (Spark/Scala, SQL, Databricks, Atlas, Kubernetes ), garantindo a continuidade dos negócios e a minimização de riscos.

Principais desafios:

• Liderança e Inspiração: Liderar equipes de desenvolvimento de tecnologia, fornecendo orientação técnica e liderança eficaz, incluindo acompanhamentos de 1:1s, construção de PDIs e gestão orçamentária.
• Colaboração com Stakeholders: Trabalhar com stakeholders internos e externos para entender necessidades e expectativas, garantindo a entrega de soluções tecnológicas eficazes.
• Cultura de Inovação: Desenvolver e promover uma cultura de inovação, colaboração e aprendizado contínuo dentro da equipe.
• Fornecer informações de conciliações para pequenos, médios e grandes comércios | Extratos online e regulartório/bandeiras/BACEN.

O que é necessário pra se inscrever:

• Gerenciamento de Mudanças Organizacionais: Forte habilidade para gerir mudanças e inovação dentro da organização.
• Gestão de Riscos: Experiência em identificar e gerenciar riscos.
• Conhecimento em Arquitetura de Software: Sólido conhecimento em padrões de arquitetura de software e engenharia de software.
• Experiência em Gestão de Times Técnicos: Experiência comprovada em liderar equipes técnicas.
• Gestão de Stakeholders: Habilidade para gerenciar stakeholders complexos.
• Inglês Avançado: Proficiência em inglês.
• Conhecimentos em Cloud: Experiência com tecnologias de nuvem e migração de sistemas legados para plataformas de nuvem (AWS, Azure, Google Cloud).
• Conhecimentos Técnicos: Conhecimento sólido em ORACLE, PL SQL, SQL, JAVA, DATABRICKS, SPARK/SCALA e API´s.
• Integração de Sistemas: Experiência em integrar novos sistemas com infraestruturas existentes, garantindo a interoperabilidade e a eficiência operacional.

Requisitos desejáveis:

• Experiência em Empresas de Adquirência/Tecnologia: Experiência prévia em empresas de adquirência ou tecnologia.
• Experiência com Fluxo de Extrato Financeiro: Familiaridade com o fluxo de extrato financeiro.

?Assistência Médica;

Assistência Odontológica;

Day off pelo dia do aniversário;

Extensão dos períodos de licença maternidade e paternidade

SelfCare - Programa de Saúde Mental e Bem-estar;

Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly;

Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado.

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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 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 allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

About BEES

As a technology cell of our organization, we have a simple goal: grow. Grow as people, as professionals, 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 participate in major events and significant meetings throughout the year.

Responsibilities:

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.
• Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.
• Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.
• Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).
• Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

Requirements and qualifications:

• Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
• Advanced English;
• Assess scalability, reliability, security, and compliance implications of data pipeline designs.
• Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
• Evaluate programming solutions in Python , PySpark , Scala, and SQL for data processing and analysis.
• Evaluate data quality processes and controls to ensure accuracy and completeness.
• Apply debugging techniques to identify and resolve cross-module issues.
• Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
• Assess effectiveness of CI/CD principles and practices in automated pipelines.
• Design, develop, and maintain APIs for data exchange between applications.
• Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and quality of work;
• Effective and transparent dialog with other areas and co-workers;
• Ability to communicate and interpersonal relationships to present cases and discuss them with other areas involved;
• Being independent in activities;
• Work as part of a team, promoting a good relationship with the team;

Differentials:

• Evaluate data pipeline solutions for latency, throughput and accuracy.
• Analyze data requirements and business needs to inform data modeling decisions.
• Understand the principles and assumptions of different machine learning capabilities.
• Integrate data sets with visualization tools to create insightful reports and dashboards.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

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.

Join to apply for the Data Operations & Reliability Lead role at Dock

2 days ago Be among the first 25 applicants

Join to apply for the Data Operations & Reliability Lead role at Dock

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Job Description

Quem é a Dock?

Há mais de 20 anos, cumprimos a missão de democratizar o acesso a serviços financeiros, tornando experiências financeiras mais simples e acessíveis.

Somos um time de pessoas obstinadas, que acreditam na tecnologia e nos serviços como os principais facilitadores para a evolução de nossos clientes e a transformação do papel das finanças.

Atuando em 11 localidades pela América Latina, trabalhamos sob o propósito de desmaterializar o universo financeiro para impulsionar a sociedade.

Responsibilities and assignments

Como será o seu dia a dia:

• Liderar o time responsável pela operação diária dos dados, garantindo o funcionamento contínuo dos pipelines e a resolução rápida de incidentes;
• Atuar diretamente na redução de problemas recorrentes, propondo soluções estruturais e preventivas;
• Ser referência técnica e promover a evolução do time em engenharia de dados, com foco em automação, padronização e confiabilidade;
• Identificar gargalos operacionais e oportunidades de melhoria, priorizando junto com os stakeholders e as areas de data products e data plataform;
• Estabelecer e acompanhar indicadores de saúde dos pipelines (ex: tempo de resposta, falhas, disponibilidade, SLA);
• Promover uma cultura de documentação, aprendizado contínuo e autonomia técnica no time;
• Apoiar o time no uso e evolução das ferramentas de monitoramento, observabilidade e versionamento;
• Construir a ponte entre a operação do dia a dia e a visão estratégica, e as demais áreas (Data Product e Data Plataform) ;
• Ser agente ativo na transformação do time de uma postura reativa para uma operação preditiva e confiável.
  
  

• Sólida experiência com operações e sustentação de dados em ambientes complexos;
• Capacidade técnica para analisar e resolver falhas em pipelines, Databricks, jobs Spark, integrações com APIs e banco de dados;
• Conhecimento em práticas de observabilidade, versionamento de dados, gestão de logs e alertas;
• Experiência com AWS (S3, Glue, RedShift, Lambda, CloudWatch, Athena, Lake Formation etc.);
• Forte domínio de SQL, além de conhecimento em Python para scripts de automação e manutenção;
• Familiaridade com conceitos de CI/CD e infraestrutura como código (Terraform, CloudFormation);
• Boa comunicação e habilidade para atuar com diferentes áreas e perfis (engenheiros, analistas, produto, negócio);
• Vivência com metodologias ágeis e ferramentas de gestão como Jira e Confluence;
• Perfil resiliente, com alta capacidade de lidar com pressão e contextos em constante mudança;
• Desejo genuíno de ensinar, evoluir o time e transformar a operação em algo escalável e previsível.
  
  

• Experiência prévia liderando times de operação, SRE, dados ou sustentação técnica;
• Conhecimento em ferramentas de automação e incident response (PagerDuty, Opsgenie, Slack Integrations, etc.);
• Cases práticos de transformação de times operacionais para estruturas mais automatizadas e orientadas a dados;
• Visão de produto aplicada à operação: capacidade de entender e propor melhorias com base no uso dos dados.
  
  

• Remote first*: política flexível de contratação, a depender da função aplicada e necessidade da área;
• Auxílio alimentação (mercado & restaurante);
• Plano de saúde e odontológico;
• Hospital digital;
• Suporte psicológico para psicoterapia online;
• Orientação ergonômica;
• Wellhub e TotalPass;
• Auxílio mensal para despesas remote first;
• Previdência privada após 6 meses de trabalho;
• Licença parental estendida;
• Auxílio creche;
• Auxílio para pais de filhos especiais;
• Plataforma de idiomas;
• Disponibilidade de coworking no Brasil inteiro;
• A Dock prioriza a política Remote First como modelo de trabalho. Entretanto, em algumas áreas específicas, a atuação presencial pode ser exigida.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Management and Manufacturing
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Dock by 2x