Data Engineer
Core
Design and build end-to-end data pipelines and scalable data solutions to power analytics, reporting, and operational workflows for Product, Finance, Operations, and R&D teams.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data models, and internal data tools
Domain
E-commerce / Retail / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Complex SQL, data pipeline architecture, data modeling, CI/CD principles, data quality monitoring, API integration, dbt, Google Cloud data technologies (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or equivalent AWS/Azure, AI tool usage (Claude, Cursor, GitHub Copilot)
Preferred skills
Experience building scalable data systems for large-scale environments, background in data-driven companies
Technologies
Google Cloud Platform (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions), AWS, Azure, dbt, SQL, CI/CD tools
Responsibilities
Design and build end-to-end data pipelines from source structures to trusted datasets; Translate business needs into scalable data solutions and purpose-built tools; Act as a technical partner to translate business requirements into data models and infrastructure; Write high-quality, maintainable code following best practices; Monitor, validate, troubleshoot, and improve data quality and pipeline reliability
Seniority
Senior, hands-on IC
