Leega

Data Scientist

• Our mission will be to develop statistical models, segmentations and solutions leveraging GenAI models.
• We work directly with Product, Risk, Commercial and Customer Service leadership, translating data into business strategies that generate value.
• You will have the opportunity to work on end-to-end projects, bringing advancement and intelligence to the business.
• Develop high-complexity, high-impact statistical models, segmentations and solutions for a variety of business areas (Product, Risk, Commercial, Collections and Customer Service).
• Provide technical mentorship to the team, perform code reviews and define the area's quality standards.
• Understand the business strategies of the departments we serve at the Bank, identifying new opportunities for improvement and influencing business strategy.
• Negotiate end-to-end project scope, manage stakeholder expectations, map risks and plan in clear phases.
• Ensure implementation of developed models together with MLOps teams, anticipating challenges and proposing solutions.
• Ensure strategic, clear storytelling for developed projects to present and drive adoption of the created models across the Bank's areas.
• Lead and develop analytical studies using traditional techniques, Machine Learning and GenAI.
• Develop and oversee the deployment of the feature store.
• Lead and propose process automation projects for the area to ensure increased productivity.

Senior Data Scientist

Analyst

• Responsible for administering and evolving critical AWS environments, managing services such as EKS, RDS, S3, IAM, EC2, VPC, ELB, Auto Scaling and CloudWatch, ensuring high availability, security and performance.
• Work on implementing Landing Zones and governance practices, infrastructure automation with Terraform, provisioning via CloudFormation and Service Catalog, Linux system administration, defining backup and disaster recovery strategies, and designing cloud network and security architectures.

Senior Cloud Analyst

• Responsible for implementing and managing observability in distributed environments, working on monitoring, analysis, and ensuring the availability and performance of critical systems.
• Work with tools such as Dynatrace, Grafana, Prometheus and Kibana; implement tracing with OpenTelemetry and Jaeger; define SLIs, SLOs and SLAs; monitor messaging systems (Kafka and RabbitMQ); manage Docker and Kubernetes clusters; use Operators and Istio; and integrate with cloud-native environments and CI/CD pipelines.

Observability Analyst

• Responsible for designing, implementing, and governing integrations between legacy and modern systems, ensuring high availability, security, traceability, and compliance with corporate standards.
• Strategic role in defining integration architectures, APIs, and asynchronous flows, promoting scalability, performance, and interoperability across platforms.
• Provisioning, automation, and environment configuration using Ansible.
• Design and implementation of integrations between legacy systems and modern applications (REST, messaging, and microservices).
• Definition of API standards (RESTful), contracts, versioning, and integration best practices.
• Implementation of asynchronous flows using messaging (e.g., queues, events, and streaming).
• Ensuring governance, authentication, and traceability of integrations (OAuth2, JWT, logging, observability).
• Technical support for development and architecture teams.
• Impact analysis and risk mitigation for critical integrations.
• Technical documentation and definition of corporate standards.

Senior Integration Analyst

DevOps Engineer

• Leega is a company focused on providing efficient and innovative service to its clients.
• Our culture is inspiring and our values are present in everyday work: ethics and transparency, commitment to quality, teamwork, economic, social and environmental responsibility, human relationships, and credibility.
• We seek innovative professionals who are driven by challenges and focused on results.
• If you are looking for a dynamic, collaborative company that invests in its people through continuous training, Leega is the place for you!

Senior DevOps Analyst

Software Engineer

• Transform data into actionable insights, helping the organization make informed decisions and drive business success;
• Deploy solutions for dashboard development using Looker Platform;
• Elicit requirements from requesters and responsible business areas;
• Work on data collection, data processing, and development of dashboards in Looker Platform;
• Analyze, model, and continuously improve business processes;
• Align the corporate IT environment with business needs, standards, and industry best practices;
• Embed a data-driven culture into daily operations;
• Work effectively in a team with empathy, listen and be heard, and demonstrate strong communication skills;
• Contribute to knowledge sharing about the tool.

Senior Looker Platform Developer

Financial Planning and Analysis

• Develop and maintain interactive, customized dashboards with an emphasis on financial metrics (income statement/P&L, cash flow, budget, among others)
• Perform data storytelling to translate complex information into actionable insights
• Collaborate with business units and finance teams to identify analytical needs
• Ensure BI processes are aligned with agile best practices
• Produce predictive analyses and identify financial trends to support decision-making
• Monitor and ensure the quality and consistency of financial data used

Business Intelligence Specialist, Finance

Backend Engineer

• Strong knowledge of Java
• Experience in architectural design with the ability to create architecture diagrams and proposals
• Support the entire team in resolving impediments and assist the manager with reports and presentations
• Work with statistics, dashboards, KPI management and system performance management reports
• Serve as a technical reference and provide technical support to the squad in the Tech Lead role — contribute to solution design and proposals
• Work on business integrations within an agile model and promote best practices in development, reuse, and architecture
• Contribute to platform and business sustainment, focusing on efficiency and reduced maintenance time
• Ensure technical solutions are aligned with business strategy
• Anticipate technical problems and propose alternatives to prevent them
• Liaise with corporate technology areas and global teams for integration and solution optimization
• Knowledge of business processes and business requirements: debit cards
• Expertise in problem resolution and business analysis
• Ability to receive high-level requirements and refine them into smaller tasks

Tech Lead, Java

Data Engineer

• **Analysis and Pipeline Load Planning:**
• Assess data warehouse architecture and requirements.
• **Map data, transformations and processes across GCP services (Cloud Storage, BigQuery, Dataproc).**
• Define data migration strategy (full load, incremental, CDC).
• Develop a data architecture plan on GCP.
• **Design and Data Modeling on GCP:**
• Design table schemas in BigQuery, considering performance, cost and scalability.
• Define partitioning and clustering strategies for BigQuery.
• Model data zones in Cloud Storage (Bronze, Silver and Gold).
• **ELT/ETL Pipeline Development:**
• Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery.
• Translate business logic and existing transformations into GCP.
• Implement data validation and quality mechanisms.
• **Infrastructure Provisioning and Management:**
• Use IaC tools (Terraform) to provision and manage GCP resources (BigQuery datasets/tables, Cloud Storage buckets, Dataproc clusters).
• Configure and optimize Dataproc clusters for different workloads.
• Manage networking, security (IAM) and access on GCP.
• **Performance and Cost Optimization:**
• Optimize BigQuery queries to reduce cost and improve performance.
• Tune and optimize Spark jobs on Dataproc.
• Monitor and optimize GCP resource usage to control costs.
• **Data Security and Governance:**
• Implement and ensure data security in transit and at rest.
• Define and enforce IAM policies to control access to data and resources.
• Ensure compliance with data governance policies.
• **Monitoring and Support:**
• Troubleshoot performance and functionality issues for data pipelines and GCP resources.
• **Documentation:**
• Document architecture, data pipelines, data models and operational procedures.
• **Communication:**
• Communicate effectively with team members, stakeholders and other company areas.
• Ensure clear communication between architecture definitions and software components, and the evolution and quality of the team’s deliverables.
• **Jira / Agile Methodologies:**
• Be familiar with agile methodologies, their ceremonies and proficient with Jira.

Senior Data Engineer – GCP

• **Load/Pipeline Analysis and Planning:**
• Assess the data warehouse architecture and requirements.
• **Map data, transformations and processes across GCP services (Cloud Storage, BigQuery, Dataproc).**
• Define the data migration strategy (full load, incremental, CDC).
• Develop a data architecture plan on GCP.
• **Design and Data Modeling on GCP:**
• Design table schemas in BigQuery with consideration for performance, cost and scalability.
• Define partitioning and clustering strategies for BigQuery.
• Model data zones in Cloud Storage (Bronze, Silver and Gold).
• **ELT/ETL Pipeline Development:**
• Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery.
• Translate business logic and existing transformations into GCP.
• Implement data validation and quality mechanisms.
• **Performance and Cost Optimization:**
• Optimize BigQuery queries to reduce costs and improve performance.
• Tune and optimize Spark jobs on Dataproc.
• Monitor and optimize GCP resource usage to control costs.
• **Data Security and Governance:**
• Implement and ensure data security in transit and at rest.
• Define and enforce IAM policies to control access to data and resources.
• Ensure compliance with data governance policies.
• **Monitoring and Support:**
• Troubleshoot performance and functional issues in data pipelines and GCP resources.
• **Documentation:**
• Document architecture, data pipelines, data models and operational procedures.
• **Communication:**
• Communicate effectively with team members, stakeholders and other business areas.
• Ensure clear communication between architectural definitions and software components, supporting the evolution and quality of the team's deliverables.
• **Jira / Agile Methodologies:**
• Familiarity with agile methodologies and rituals, with proficiency in the Jira tool.

Mid-level Data Engineer – GCP

• We are looking for a senior developer specialized in .NET MAUI to take technical ownership of a new cross-platform mobile application. The professional will be responsible for receiving, analyzing, and continuing the development of an already-started application, ensuring quality, scalability, and adherence to industry best practices.
• Previous experience taking over in-progress projects from other teams or vendors
• Knowledge of Blazor Hybrid within MAUI
• Familiarity with code analysis tools and quality metrics
• Experience with Azure DevOps or GitHub Actions for mobile CI/CD
• Open source contributions or active participation in the .NET community
• Autonomy and proactivity to drive the project with minimal supervision
• Analytical ability to understand and document third-party code
• Clear communication to report status, risks, and technical decisions
• Ownership mindset regarding the product and its outcomes
• Receive and analyze the existing application codebase, documenting architecture, dependencies, and areas for improvement
• Assume technical leadership of the project, defining coding standards, architecture, and best practices
• Develop and evolve features using .NET MAUI for iOS and Android
• Conduct code reviews, refactorings, and performance optimizations
• Ensure code quality through unit and integration tests
• Collaborate with product, design, and backend teams to deliver aligned with business requirements
• Document technical decisions and keep project documentation up to date
• Identify and resolve technical debt, proposing continuous improvements
• Support the definition of CI/CD pipelines for building and distributing the app
• Implement and maintain integrations with push notifications (Firebase, APNs)
• Ensure accessibility and adherence to platform UX guidelines

Senior .NET MAUI Developer

Business Intelligence Developer

• We are looking for a Mid-level BI Analyst to strengthen our data team, working end-to-end on building data pipelines, analytical modeling, dashboards, and analyses that support strategic business decisions.
• Build, maintain, and optimize data pipelines using dbt and Airflow, ensuring quality, reliability, and scalability.
• Develop and optimize advanced SQL queries with a focus on performance and cost in BigQuery.
• Design and evolve dimensional and relational analytical models aligned with business needs.
• Develop and maintain dashboards and Looker explores, ensuring clarity, consistency, and a strong user experience.
• Work consultatively with stakeholders, understanding business requirements and translating them into data solutions.
• Perform exploratory and root-cause analyses, going beyond “what happened” to explain “why.”
• Automate analytical processes and routines using Python when necessary.
• Document pipelines, metrics, and business rules, promoting data governance and standardization.
• Support the dissemination of a data-driven culture, ensuring teams trust and use data in their daily workflows.

Mid-level BI Analyst, dbt, Looker

• Perform data modeling by analyzing and structuring datasets to ensure proper relationships and adherence to industry best practices.
• Handle special data by creating and managing equivalence tables, including specific cases such as “verticals”, aiming for greater standardization and efficiency.
• Build pipelines that ensure full traceability from client file delivery through to loading into the Gold layer in Azure Databricks.
• Identify opportunities for source-side automation to reduce reliance on manual files and increase efficiency.
• Propose and implement efficient migration strategies, such as incremental loads, to avoid high costs from daily full loads.
• Familiarity with code documentation.
• Experience with agile methodologies.
• Familiarity with developing process monitoring and alerts.
• Ability to communicate technical solutions in a simple, pragmatic manner.
• Proactive in supporting the team.

Data Engineer – Azure, Databricks, Mid-level

• Design, implement, and maintain robust, scalable data pipelines using Google Cloud Platform (GCP) and Amazon Web Services (AWS).
• Develop and implement effective data models to support complex analytics and automated reporting.
• Work closely with product teams and squads to understand business requirements and translate them into viable technical solutions.
• Ensure data governance, quality, and compliance with established standards by implementing data engineering best practices.
• Implement efficient ETL/ELT processes and optimize the performance of data pipelines to ensure data accuracy and integrity.
• Provide technical support to resolve data integration issues and ensure continuous availability of data systems.
• Actively participate in agile initiatives, collaborating in sprints and ceremonies to ensure high-quality, on-time deliveries.

Data Engineer, GCP  AWS

• Organization and Structuring of Data Repositories
• Perform data modeling, analyzing and structuring datasets to ensure proper relationships and adherence to market best practices
• Handle special data cases by creating and managing equivalence/mapping tables, including specific cases such as “verticals,” aiming for greater standardization and efficiency
• Development of Data Pipelines and Flows
• Build pipelines that ensure full traceability, from client file delivery through to loading into the Gold layer on Google Cloud Platform (GCP)
• Identify opportunities for source-side automation to reduce dependence on manual files and increase efficiency
• Migration and Optimization of Databases
• Propose and implement efficient migration strategies, such as incremental loads, avoiding high costs associated with daily full loads
• Familiarity with code documentation (desirable)
• Experience with agile methodologies (desirable)
• Skills in developing and optimizing APIs for data consumption (desirable)
• Familiarity with developing monitoring and alerts for processes implemented on GCP (desirable)
• Ability to communicate technical solutions in a simple and pragmatic way (soft skill)
• Proactive in supporting the team (soft skill)

Leega

Senior Data Scientist

Senior Cloud Analyst

Observability Analyst

Senior Integration Analyst

Senior DevOps Analyst

Senior Looker Platform Developer

Business Intelligence Specialist, Finance

Tech Lead, Java

Senior Data Engineer – GCP

Mid-level Data Engineer – GCP

Senior .NET MAUI Developer

Mid-level BI Analyst, dbt, Looker

Data Engineer – Azure, Databricks, Mid-level

Data Engineer, GCP AWS

Data Engineer, GCP, Mid-level

Senior Data Scientist

Senior Cloud Analyst

Observability Analyst

Senior Integration Analyst

Senior DevOps Analyst

Senior Looker Platform Developer

Business Intelligence Specialist, Finance

Tech Lead, Java

Senior Data Engineer – GCP

Mid-level Data Engineer – GCP

Senior .NET MAUI Developer

Mid-level BI Analyst, dbt, Looker

Data Engineer – Azure, Databricks, Mid-level

Data Engineer, GCP  AWS

Data Engineer, GCP, Mid-level

Data Engineer, GCP AWS