Senior Data Engineer - Remote

Overview

We are looking for a Senior Data Engineer to architect and scale the data infrastructure behind our Machine Learning platform, turning billions of data points into production-ready models powering global consumer brands.

In Short

• 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.

Requirements

• 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 includes AWS ecosystem, Apache Airflow, Python, Advanced SQL optimization, CI/CD with GitHub Actions or GitLab, Docker & Kubernetes.

Benefits

• 100% Remote work.
• USD competitive salary.
• Paid time off.
• Dynamic, diverse, and talented global team.