Summary: Seeking a Senior Data Engineer to architect and scale data infrastructure for a Machine Learning platform, designing systems that power global consumer brands. Highlights: 1. Architect and scale advanced ETL pipelines using modern Big Data technologies 2. Operationalize machine learning models in batch and real-time environments 3. Elevate data quality standards with strong governance and monitoring systems #### **About Trafilea** Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B\+ in cumulative revenue, 12M\+ customers, and 500\+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose\-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint. #### **Why Trafilea** We’re a tech\-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. We build and scale our own brands. We invest in AI and automation like few others in eCom. We test fast, grow fast, and help you do the same. Be part of a dynamic, diverse, and talented global team. 100% Remote, USD competitive salary, paid time off, and more. #### **Job Responsibilities** We’re looking for a **Senior Data Engineer** to architect and scale the data infrastructure behind our Machine Learning platform. You won’t just maintain pipelines. You’ll design the systems that turn billions of data points into production\-ready models powering global consumer brands. * Architect and scale advanced **ETL pipelines** using modern Big Data technologies Design resilient data frameworks across the full lifecycle: extraction transformation* ML modeling * Lead the development of Airflow\-driven data workflows * Optimize large\-scale datasets and complex SQL queries * Operationalize machine learning models in **batch and real\-time environments** * Improve cost\-efficiency and scalability across our AWS data ecosystem * Elevate data quality standards with strong governance and monitoring systems * Build internal data tools that empower Marketing Science \& Analytics teams * 2–3\+ years as a Data Engineer or ML Engineer in production environments * You think in systems, not scripts * You care about scalability, cost\-efficiency, and precision * You reject mediocrity — performance and reliability matter * You document your work and raise the bar for quality**The Tech Stack You’ll Master** * **AWS ecosystem**: S3, Glue, Athena, Redshift, Lambda, EC2, RDS, EMR, VPC, ECS/EKS * Apache Airflow for orchestration * Python (object\-oriented programming) * Advanced SQL optimization * CI/CD with GitHub Actions or GitLab * Docker \& Kubernetes (EKS/ECS, ECR)