Data Engineer III – Fixed-Term

Grupo Boticário

Data Engineer III developing and maintaining robust data pipelines for credit, collection, and fraud prevention at Grupo Boticário. Collaborating with cross-functional teams to enhance financial intelligence and solutions.

Posted 7/7/2026full-timeRemote • BrasilLeadWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Development and Innovation: Develop and maintain robust data pipelines for new initiatives, applying best practices for organization, optimization, and a strong engineering focus
Backend Modeling: Design and define data repository models (data lakes, data warehouses, relational and non-relational databases) for productionizing structured tables
Quality and Observability: Implement systems, routines, and data quality checklists to monitor, validate, and ensure the consistency and quality of datasets in collaboration with the business team
Consultative Interface: Gather technical and functional requirements directly from stakeholders and business partners (Credit, Collections, and Fraud), translating complex problems into efficient solutions
Coordination and Resolution: Proactively connect people to remove blockers and resolve incidents, ensuring end-to-end delivery without bottlenecks
DataOps and Documentation: Maintain technical and functional documentation of solutions using the company's standardized platforms, ensuring CI/CD is used to automate processes and participating in multidisciplinary ceremonies (360° view)

Requirements

What you’ll need

Proven Experience: Solid previous experience in data engineering, analytics engineering, or related areas with a backend focus, autonomy, and delivery orientation
Languages: Advanced proficiency in SQL and proficiency in Python (preferred) or another programming language
Data Architecture: Hands-on experience with Big Data, data warehousing, and scalable data modeling
Cloud Computing: Experience with cloud ecosystems, with an advanced focus on GCP (Google Cloud Platform) and its components (Composer, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, and Bigtable)
Orchestration and Version Control: Knowledge of orchestration tools (e.g., Airflow, Composer) and version control (Git)
Data Culture: Experience with CI/CD pipelines, DataOps practices, and governance/data quality tools
Soft Skills: High adaptability to work across multiple financial business areas, proactive problem-solving, and concise communication to engage both technical and corporate audiences.

Benefits

Comp & perks

Medical and dental plan
Medication assistance
Health allowance for family members
Free psychotherapy sessions
Telemedicine and second medical opinion
Free flu vaccination
Health and wellness programs
Meal voucher or local restaurant credit (depending on work model)
Food voucher
Holiday food voucher (Christmas)
Gym and fitness studio plan
Home office allowance (for hybrid and remote work models)
Pet health plan
Birthday day off
Up to 40% discount on our products
Employee membership benefits (agreements and partnerships, multi-brand store, TotalPass gyms, courses, and more!)
Travel and accommodation program
Childcare education assistance
Child nutrition credit
Babysitter allowance
School supplies allowance
Legal, psychological, and social counseling
Support for non-traditional parents
Extended parental leave (180 days for mothers and 120 days for fathers)
Transport voucher and parking (hybrid and on-site models)
Life insurance
Support in the event of parental bereavement
Private pension plan
Payroll-deductible loans

ATS Keywords

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Hard Skills & Tools

Data Pipeline DevelopmentData Repository ModelingBig DataData Quality AssurancePython ProgrammingDataOps PracticesData ArchitectureScalable Data ModelingOrchestration ToolsVersion Control

Soft Skills

Proactive Problem-SolvingConcise CommunicationHigh Adaptability