Rox Partner

Analytics Engineer

• Develop, maintain, and optimize data transformation pipelines using DBT
• Build and manage complex data workflows using Apache Airflow
• Design and implement dimensional and relational models to support strategic analytics and KPIs
• Ensure data quality, reliability, and traceability through testing, monitoring, and engineering best practices
• Model, organize, and make datasets available for analytical consumption
• Develop and optimize high-performance SQL queries across large volumes of data
• Work with BigQuery to drive operational efficiency, cost optimization, and performance
• Develop and maintain dashboards and semantic layers using the Looker platform
• Promote best practices in data documentation, governance, and cataloging
• Support business teams in defining metrics, KPIs, and analytical requirements
• Participate in architecture discussions and contribute to the evolution of the organization’s data platform
• Automate processes and routines using Python whenever necessary
• Serve as a technical reference for the team, sharing knowledge and best practices

Senior Analytics Engineer – DBT

Data Engineer

• Develop and enhance Data Engineering solutions using Python, Databricks, and AWS
• Design, develop, and optimize scalable data pipelines, with a focus on performance, reliability, and maintainability
• Apply Software Engineering principles to the development of data solutions and pipelines
• Contribute to the design of system architectures and data solutions by evaluating technologies, patterns, and technical approaches
• Support the advancement of Artificial Intelligence adoption in software development by identifying opportunities for automation, productivity, and process improvement
• Explore and implement AI-powered solutions to support software and pipeline development, testing, documentation, maintenance, and evolution
• Define and promote best practices, development standards, and technical guidelines related to the use of AI
• Contribute to the definition of governance, security, and controls for the responsible adoption of AI-based solutions
• Collaborate with professionals across Data, Software Engineering, Architecture, and business teams
• Conduct technical analysis of solutions, identifying opportunities for optimization, automation, and modernization
• Provide technical support to the team by sharing knowledge and promoting the adoption of engineering best practices

Senior Data Engineer – Software Engineering, AI

• Design, develop, and enhance Data Engineering solutions using AWS and Databricks
• Develop and optimize ETL/ELT data pipelines, ensuring scalability, performance, and reliability
• Perform data modeling to support analytical and business requirements
• Develop data ingestion, transformation, and integration processes from multiple sources
• Work with large volumes of data, applying engineering best practices and distributed processing
• Develop and optimize Databricks workloads, focusing on processing efficiency and quality
• Use AWS ecosystem services and resources to build and maintain data solutions
• Implement data quality, monitoring, validation, and governance practices
• Partner with business and technology teams, translating requirements into technical solutions
• Document solutions, processes, and pipelines to ensure traceability and ease of maintenance
• Support the identification and resolution of issues related to data, pipelines, and performance

Senior Data Engineer

• Partner with business teams to understand their needs and translate requirements into scalable data solutions aligned with organizational objectives
• Lead requirements-gathering efforts and map business processes and data flows across systems
• Develop and maintain data engineering solutions in Microsoft Azure
• Create and optimize data pipelines using Azure Data Factory and Azure Databricks
• Integrate, transform, and make data available for analysis
• Develop and maintain ETL/ELT processes
• Execute cloud data environment migration and modernization projects
• Design and optimize data models
• Implement and maintain CI/CD pipelines
• Apply data governance, security, and quality practices
• Monitor and troubleshoot failures in data pipelines and processes
• Develop and maintain analytical solutions with Power BI
• Optimize the performance and scalability of data environments
• Document processes, solutions, and architectures
• Collaborate with Data, BI, Engineering, Technology, and Business teams

• Partner with business stakeholders to understand needs and translate requirements into scalable data solutions aligned with organizational objectives
• Lead requirements-gathering initiatives and map business processes and data flows across systems
• Define and validate business rules, metrics, KPIs, and corporate indicators
• Design and evolve data models for Data Warehouse, Data Lake, and Lakehouse environments
• Define dimensional modeling strategies, including facts, dimensions, granularity, and relationships
• Develop data architectures using Azure Data Factory, Databricks, Data Lake, and Power BI
• Ensure data quality, consistency, and traceability throughout pipelines
• Define standards for data ingestion, transformation, quality, and delivery across the Bronze, Silver, and Gold layers
• Serve as a technical reference for Data Engineering, BI, and Analytics teams
• Support solution implementation, ensuring alignment with architectural and business definitions
• Produce documentation for data models, business rules, and corporate indicators

Data Scientist

• Develop, validate, monitor, and enhance statistical, predictive, and Machine Learning models
• Explore, analyze, and interpret large volumes of structured and unstructured data
• Transform data into actionable insights to support decision-making
• Develop analytical studies and models focused on customer behavior, patterns, and business opportunities
• Build and implement scalable analytical solutions with quality, efficiency, and reliability
• Conduct exploratory analyses, hypothesis tests, and impact assessments
• Identify opportunities to optimize processes through Data Science, Statistics, and Artificial Intelligence
• Integrate data from different internal and external sources, ensuring consistency and quality
• Partner with Business, Data Engineering, and Technology teams
• Monitor models in production and propose continuous improvements
• Research and apply new methodologies, algorithms, and technologies in AI, Machine Learning, and Analytics

Senior Data Scientist

• Develop and optimize modern analytics solutions within a Microsoft Azure- and Snowflake-based Data & Analytics ecosystem
• Design, develop, and maintain data models, schemas, and queries in Snowflake, with a focus on performance, scalability, and quality
• Build and optimize data pipelines in an Azure environment
• Develop transformation and modeling processes using DBT (Data Build Tool)
• Integrate and move data between different source systems and the Data Warehouse
• Develop and maintain write-back solutions between front-end applications and Snowflake
• Work with APIs and real-time data processing (streaming)
• Participate in defining and evolving technical solutions in partnership with Solution Architects
• Apply best practices for security, architecture, quality, and data governance across the Azure ecosystem
• Contribute to testing, validation, deployment, and the continuous improvement of developed solutions

Senior Data Engineer – Fluent English

Backend Engineer

• Write, test, and maintain product or system code, contributing to design decisions and solution implementation
• Debug, optimize, and resolve issues in existing systems, ensuring high performance and reliability
• Apply design practices focused on scalability, consistency, and fault tolerance in mission-critical applications
• Actively participate in defining architecture and development best practices
• Collaborate with other technical teams, clearly communicating requirements and solutions
• Work in environments that use containers, orchestration, and cloud services, ensuring efficient and secure operations
• Provide peers and stakeholders with visibility into the team’s work and results, ensuring continuous alignment on progress and challenges

Golang Developer – Senior

• Partner with business teams to understand their needs and translate requirements into scalable data solutions aligned with organizational objectives
• Lead requirements-gathering efforts and map business processes and data flows across systems
• Define and validate business rules, metrics, KPIs, and corporate performance indicators
• Design and evolve data models for Data Warehouse, Data Lake, and Lakehouse environments
• Define dimensional modeling strategies, including facts, dimensions, granularity, and relationships
• Develop data architectures using Azure Data Factory, Databricks, Data Lake, and Power BI
• Ensure data quality, consistency, and traceability throughout data pipelines
• Define standards for data ingestion, transformation, quality, and delivery across the Bronze, Silver, and Gold layers
• Serve as a technical reference for Data Engineering, BI, and Analytics teams
• Support solution implementation, ensuring alignment with architectural and business definitions
• Produce documentation for data models, business rules, and corporate performance indicators

• Develop, enhance, and maintain applications using C# and .NET
• Develop and maintain web automations with Selenium WebDriver, ensuring stability, reliability, and efficiency
• Create, execute, and maintain automation scripts for different web workflows and processes
• Develop automation solutions involving interaction with pages, forms, elements, and system workflows
• Develop APIs, services, and integrations using .NET
• Integrate with REST APIs and external services
• Identify, analyze, and fix issues in applications and automations
• Participate in code reviews and contribute to development best practices
• Work collaboratively with technical and business teams to implement solutions
• Contribute to technical documentation and participate in team ceremonies in an Agile environment

.NET Developer – Selenium Automation

Architect

• Define solution architectures using Microsoft Copilot Studio and components of the Microsoft ecosystem
• Design solutions involving Copilot Studio, Power Platform, Power Automate, Dataverse, APIs, and AI services
• Establish technical standards, best practices, security, governance, and solution scalability
• Provide technical support to developers and other professionals involved in projects
• Analyze and troubleshoot highly complex technical issues
• Participate in technical meetings and workshops with international clients and stakeholders
• Support requirements gathering and translate business needs into technical solutions
• Evaluate integrations with APIs, enterprise systems, databases, and external services
• Participate in discussions on architecture, security, authentication, identity, and governance
• Support the adoption and evolution of Copilot Studio solutions within client organizations

Microsoft Copilot Studio Architect – Fluent English

Software Engineer

• Develop and configure solutions using Microsoft Copilot Studio
• Create agents, conversational flows, topics, actions, and integrations
• Develop automations using Power Automate
• Work with connectors, APIs, and integrations with enterprise systems
• Develop solutions using Power Platform capabilities
• Configure and work with Dataverse and other data sources
• Implement integrations with REST APIs and external services
• Participate in testing, user acceptance testing, troubleshooting, and support of developed solutions
• Support the implementation of development, security, and governance best practices
• Participate in technical meetings with clients and international teams
• Document developed solutions, integrations, and components
• Work collaboratively with architects and specialists to implement the architectures defined for projects

Senior Analytics Engineer – DBT

Senior Data Engineer – Software Engineering, AI

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Engineer – Fluent English

Golang Developer – Senior

Senior Data Engineer

.NET Developer – Selenium Automation

Microsoft Copilot Studio Architect – Fluent English

Microsoft Copilot Studio Developer – Fluent English