Compass

Data Scientist

• Desenvolver, treinar e implantar modelos de Machine Learning e IA Generativa.
• Trabalhar com LLMs e arquiteturas RAG (Retrieval-Augmented Generation).
• Avaliar e otimizar soluções considerando custo, latência e qualidade das respostas.
• Construir pipelines de ingestão e processamento de dados textuais utilizando bancos vetoriais.
• Desenvolver APIs e aplicações de IA com LangChain, LangGraph, OpenAI e AWS Bedrock.
• Desenvolver soluções de Visão Computacional para classificação de imagens, detecção de objetos e segmentação semântica.
• Criar e sustentar pipelines de dados, modelos e aplicações de IA em produção.
• Atuar com serviços AWS e Azure para desenvolvimento de soluções escaláveis.
• Garantir qualidade, segurança, performance e governança das soluções.
• Apoiar Product Owners e stakeholders na definição técnica das iniciativas.
• Participar de cerimônias ágeis e colaborar com times multidisciplinares.

Senior Data Scientist – GenAI, Machine Learning

Scrum Master

• Facilitate and lead agile ceremonies (Daily, Planning, Review, Retrospective, and tactical performance rituals).
• Serve as Scrum Master / Agile facilitator, supporting teams in organizing and executing work.
• Support Product Owners in backlog management and prioritization.
• Ensure the adoption and evolution of tools such as Jira, Trello, and Businessmap (Kanbanize).
• Monitor flow and performance metrics, such as:
• Lead Time
• Cycle Time
• Throughput
• WIP
• Aging
• Identify bottlenecks, impediments, and continuous improvement opportunities.
• Define and sustain agile governance practices (flow policies, WIP limits, classes of service, DoR/DoD).
• Prepare executive and operational reports, translating data into actionable insights.
• Plan and facilitate alignment events (e.g., PI Planning).
• Support the evolution of agile maturity and organizational change management.
• Act as a bridge between teams and stakeholders, ensuring alignment and transparency.

Senior Agile Coach – Kanban, Lean

• Implementation and facilitation of Planning, Daily, Review and Retrospective events;
• Management of dependencies between teams;
• Removal of team impediments;
• Facilitation of Discovery sessions and workshops;
• Visual management of boards in Jira;
• Leading continuous improvement initiatives;
• Supporting the Product Owner in maintaining the product roadmap;
• Supporting continuous backlog elicitation and refinement;
• Providing visibility and identifying efficiency opportunities based on metrics;
• Workflow mapping;
• Management of quarterly initiatives with leadership (Flight Levels), following the Quarter Planning model;
• Conducting Kanban training;
• Conducting Jira training;
• Configuring Jira for teams, with FL1 boards (story level) and FL2 boards (epic level);
• Migrating and organizing team backlogs in Jira;
• Backlog grooming together with Product Owners;
• Configuring teams in Power BI;
• Creating dashboards with metrics to identify bottlenecks;
• Analyzing metrics and sharing insights with teams;
• Structuring synchronization agendas with stakeholders;
• Implementing continuous improvements to Jira boards based on the evolution of the workflow.

Scrum Master – Mid-level

Product Manager

• Manage and plan the product backlog, setting priorities based on business objectives and customer needs, taking quarter planning into account;
• Create and write initiatives, epics and stories, eliciting, documenting and detailing functional requirements and business rules related to insurance, including auto insurance;
• Conduct backlog refinement sessions with the technical team;
• Provide partial status updates for initiative deliveries;
• Coordinate and align with external partners;
• Work on integrations via APIs and insurers' digital ecosystems;
• Support the development of new products and initiatives related to digital services, including solutions focused on mobility, customer experiences and financial services.

Senior Product Owner

Project Manager

• Manage projects ensuring full alignment with corporate strategy and business objectives;
• Manage resource allocation, prepare executive summaries, and continuously perform risk analysis, maintaining transparency and predictability for all stakeholders;
• Oversee multiple concurrent projects with a focus on managing interdependencies and synergies across program projects, ensuring excellence in the delivery of value within budget (efficiency, optimization of shared resources) and on schedule;
• Ensure balance across Scope, Schedule, Cost, Risk, Quality, Communication, and Stakeholder Engagement.

Senior Project Manager

Analyst

• Prepare and review pricing proposals.
• Perform financial viability, cost, and margin analyses.
• Support business areas in developing commercial proposals.
• Monitor project profitability indicators.
• Assess financial risks in RFPs and bids.
• Collaborate with departments such as Sales, Finance and Legal.
• Analyze revenue, costs, margin and profitability by client, contract and business unit.
• Develop management reports and dashboards.
• Identify opportunities to improve results and operational efficiency.
• Provide strategic analyses to support commercial and financial teams.

Pricing and Profitability Analyst – Mid-level

Data Engineer

• Develop, maintain and optimize data pipelines (ETL/ELT) in cloud environments
• Work on data modeling and structuring of databases for analytical consumption
• Ensure data quality, consistency and traceability
• Support data integrations via REST APIs and cloud services
• Work with Google Cloud Platform (GCP), especially BigQuery
• Support data migration initiatives to cloud environments (BigQuery or Microsoft Fabric)
• Contribute to the evolution of data processes, performance and technical best practices
• Collaborate with technical and business teams to understand requirements

Senior GCP Data Engineer

• Develop, evolve, and optimize large-scale data pipelines;
• Design solutions for data ingestion, transformation, and delivery;
• Ensure efficiency, performance, and reliability of production pipelines;
• Integrate data from multiple sources and systems;
• Work on workflow orchestration and pipeline automation;
• Support incident resolution and continuous improvements of the data platform;
• Collaborate with cross-functional teams (engineering, product, and business);
• Contribute to data engineering best practices, architecture, and governance;
• Participate in technical definitions and platform evolution.

Senior GCP and Azure Data Engineer

• Perform data modeling, working with technologies such as Databricks, SAP Datasphere, Azure Data Factory, Azure Data Lake Storage (ADLS), Python, and databases (SQL Server, Oracle);
• Work on extracting data from files received monthly, building a data lake and tables;
• Structure RAG for the client's debt contracts and other documents related to loan agreements;
• Perform ETL from CXL APIs and transform and process them into Databricks databases to feed CXL quotes;
• Structure data tables in Databricks for Judicial Deposits, Financial Guarantees and Collateral;
• Develop ETL processes for analyzing structured and unstructured data, using the client's chat API to analyze files and validate data;
• Build the Position Manager data product and create reports to replace CXL's Crystal Reports;

Senior Data Engineer – Databricks, ADF, AI

Business Intelligence Developer

• Develop high-performance executive, tactical, and operational dashboards using Power BI.
• Connect, integrate, and structure data from multiple sources, such as APIs, SQL Server, Data Lake, and others.
• Define, monitor, and evolve KPIs and metrics aligned with business needs.
• Apply UX/UI best practices to improve the user experience in data visualization.
• Create, document, and maintain ETL processes using Power Query (M).
• Implement governance, security, and documentation standards for data and reports.
• Work in partnership with stakeholders to gather, analyze, and refine requirements.

Senior Power BI Developer

Full-stack Engineer

• Lead the analytics area and ensure the efficiency of the consumption layer;
• Define standards and best practices for development in Power BI;
• Support the team of analysts in migrating reports from MicroStrategy to Power BI and in creating new reports;
• Assist with technical requirements analysis and the preparation of documentation;
• Validate data consistency between the Silver and Gold layers and the reports;
• Act as the technical liaison between the analytics team and the engineering team;
• Lead the report publishing processes in the production environment;
• Ensure integration between the Gold layer and analytical dashboards;
• Monitor the quality and performance of reports and dashboards.

Tech Lead, BI & Analytics

• Map and redesign end-to-end development flows, from ideation to deployment and operation
• Identify systemic bottlenecks that impact multiple squads simultaneously
• Define, track, and evolve flow metrics such as lead time, cycle time, DORA metrics, and flow efficiency
• Connect engineering practices and development flow to business outcomes
• Create, standardize, and evolve the development pipeline, ensuring consistency without removing squads' autonomy
• Implement and evolve Continuous Delivery practices, reducing friction in the CI/CD pipeline
• Standardize ceremonies and rituals at scale without over-constraining teams
• Facilitate PI Planning, system-level retrospectives, and synchronizations between dependent squads
• Serve as a technical and process reference, collaborating with engineers as peers
• Communicate clearly across multiple levels, from junior developers up to the CTO.

Tech Lead Engineering

DevOps Engineer

• Ensure the reliability, availability, scalability, and performance of production systems;
• Define, monitor, and evolve SLIs, SLOs, SLAs, and Error Budgets;
• Implement and enhance observability practices, including logs, metrics, tracing, and alerts;
• Participate in response to critical incidents, conduct root cause analyses (RCA), and lead blameless post-mortems;
• Automate operational processes to reduce manual work and increase efficiency;
• Collaborate with Development, DevOps, and Architecture teams to prevent systemic failures;
• Plan and validate strategies for high availability, scalability, capacity planning, and disaster recovery;
• Support technical decisions through analysis of reliability, performance, and utilization metrics;
• Contribute to the continuous evolution of a reliability culture and operational excellence.

Senior Site Reliability Engineer, SRE

Product Designer

• Dive into operations by conducting shadowing sessions, interviews, and usability tests with agents to understand current system usage;
• Prototype solutions by creating flows, wireframes, and high-fidelity prototypes in Figma, respecting — and when appropriate challenging — Salesforce standards;
• Collaborate with Product Managers and Developers to ensure designs are technically feasible and meet business KPIs, such as reducing Average Handle Time (AHT);
• Map journeys by creating Service Blueprints and interaction flows to represent support scenarios;
• Advocate for internal users by being the voice of agents in the squad's product decisions.

Product Designer – UX/UI, Mid-level

Product Analyst

• Apoiar o Product Owner na gestão, refinamento e priorização do backlog do produto;
• Levantar, organizar e documentar requisitos funcionais e não funcionais;
• Participar das cerimônias ágeis, como Planning, Refinamento, Daily, Review e Retrospectiva;
• Acompanhar o desenvolvimento das funcionalidades junto aos times de Engenharia, QA, UX/UI e Dados;
• Apoiar a validação e homologação das entregas antes da disponibilização em produção;
• Garantir que as demandas estejam bem detalhadas, priorizadas e alinhadas aos objetivos do produto;
• Facilitar a comunicação entre áreas de negócio, tecnologia e demais stakeholders;
• Coletar feedbacks de usuários, clientes internos e áreas parceiras para apoiar a evolução contínua do produto.;
• Apoiar o monitoramento de indicadores, incidentes, bugs e oportunidades de melhoria;
• Contribuir para a documentação de processos, fluxos, regras de negócio e funcionalidades;
• Apoiar a comunicação de releases, melhorias e novas funcionalidades;
• Elaborar reports e apresentações sobre a evolução do produto.