Data Engineer – Specialist I

Grupo Boticário

. Serve as the technical Data Engineering point of contact for Credit, Collections, and international operations (individual and corporate customers) .

Posted 9/18/2026full-timeRemote • BrazilLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and data engineering ecosystems, with a strong focus on developing and deploying APIs for data integration. Capable of building complex batch and real-time ingestion pipelines while applying FinOps practices and ensuring data quality.

Highest-signal resume keywords

Python ProficiencyData Engineering EcosystemsAPI Development and DeploymentGenerative AI ToolsFinOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureBatch Ingestion PipelinesReal-Time Ingestion PipelinesObservability PracticesTelemetryAPI Stress TestingAnalytical WorkflowsRisk EnginesBehavioral ScoringExpected Loss Workflows

Soft Skills

Self-ManagementAnalytical ThinkingAgilityCollaboration

Tools & Technologies

CursorGenerative AIScrumKanban

Industry Keywords

CreditCollectionsRisk BureausData ScienceMachine Learning

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Serve as the technical Data Engineering point of contact for Credit, Collections, and international operations (individual and corporate customers)
Design and evolve complex batch and real-time ingestion pipelines
Develop APIs for data extraction, deployment, and integration with partner systems and risk bureaus
Maintain and develop credit pipelines, including credit limit increases and behavioral scoring
Work on expected loss and provisioning workflows
Monitor the delinquency funnel from 2 to 1,800 days throughout the collections journey
Build data ecosystems for Machine Learning models, analytical workflows, and risk engines
Monitor end-to-end operational health, ensure data quality, and conduct API stress testing
Apply FinOps practices and optimize computing costs
Use generative AI, Cursor or equivalent tools, prompt engineering, and requirements specification
Translate requirements between business areas and technical teams
Prepare technical documentation, trade-off analyses, and roadmaps
Work with Scrum/Kanban, strategic OKRs, and dynamic prioritization
Independently manage time and lead problem-solving efforts in critical scenarios

Requirements

What you’ll need

Advanced proficiency in Python and data engineering ecosystems and workflows
Proven experience in data and software architecture, building complex batch and real-time ingestion pipelines
Strong experience developing and deploying APIs for data integration between systems and partners
Knowledge and practical application of observability, telemetry, and API stress-testing practices
Familiarity with and practical use of generative AI tools for development, including vibe coding with Cursor or similar tools, as well as prompt engineering
Strong self-management skills, analytical thinking, agility, and the ability to collaborate effectively with business areas to align requirements
Preferred: experience in the financial sector, particularly in Credit, Collections, or Risk Bureaus
Preferred: experience integrating pipelines with Data Science and Machine Learning
Preferred: knowledge of FinOps culture and practices

Benefits

Comp & perks

Flexible medical and dental plans
Prescription assistance and healthcare allowance for family members
Free psychotherapy sessions and 24/7 telemedicine
Ongoing prevention, mental health support, and vaccination programs
Meal vouchers (or an on-site restaurant) and food allowance, including an additional Christmas allowance
Discounts of up to 40% on brands within our ecosystem
Gympass/TotalPass memberships for gyms and sports studios
Home office allowance for hybrid and remote work arrangements
Birthday day off
Pet health insurance, partner benefits, and travel and accommodation programs
Extended parental leave (180 days for mothers and 120 days for fathers)
Support for parents of children with special needs and childcare assistance
School supplies allowance and child nutrition credit
Dedicated legal, psychological, and social support
Private pension plan and life insurance
Bereavement support following the loss of parents and payroll-deducted loans
Transportation allowance and parking (depending on the work arrangement)