Data Engineer (eCommerce)

Location: Panama Business Center, Panama; relocation support available

Company

Procter & Gamble serves consumers worldwide through a portfolio of trusted consumer brands operating across approximately 70 countries.

What you will do

• Design, develop, and operate scalable batch data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake.
• Build and publish data products for catalog, pricing, promotions, inventory, orders, payments, fulfillment, and returns.
• Integrate Amazon and other eCommerce, payment, logistics, and enterprise systems through REST APIs, webhooks, files, and cloud-native interfaces.
• Handle authentication, pagination, rate limits, retries, idempotency, schema evolution, monitoring, and recovery for critical integrations.
• Optimize Spark workloads and implement data quality controls, observability, metrics, alerting, and lineage.
• Perform root cause analysis and deliver scalable, fault-tolerant, recoverable solutions for production issues.

Requirements

• 3–5 years of experience in data engineering or software engineering in production environments.
• Bachelor’s degree in Software Engineering, Computer Science, or a similar field.
• Experience in eCommerce, digital marketplaces, retail, or high-volume transactional platforms.
• Knowledge of eCommerce data domains including catalog, pricing, inventory, orders, payments, fulfillment, and returns.
• Direct experience integrating with REST APIs.
• Deep hands-on experience with Python, PySpark, and SQL at scale.
• Experience building production-grade pipelines on Databricks or an equivalent platform.
• Understanding of batch processing, incremental ingestion, data modeling, and data quality practices.
• Software engineering discipline including version control, automated testing, CI/CD, code reviews, and production monitoring.
• Professional proficiency in Spanish and English is required.

Nice to have

• Advanced Databricks expertise, including Delta Lake, Unity Catalog, Workflows, Auto Loader, MLflow, and workload optimization.
• Amazon Marketing Cloud experience.
• Experience operationalizing machine learning or AI models in production.

Culture & Benefits

• Relocation support to Panama.
• Responsibilities from Day 1 with ownership of projects.
• Dynamic and supportive environment focused on agility and work-life balance.
• International teams with regional or global responsibilities.
• Competitive salary and benefits package.
• Long-term career development, mentorship, and formal training opportunities.

Hiring process

• Review the hiring process and assessment information before applying.
• Complete the required online assessments as part of the recruitment process.
• Applicants requiring disability accommodations should submit a request before completing the assessments and wait for documentation verification.