Senior Data Engineer

Responsibilities

• Design, build, and maintain high-throughput reverse-ETL replication pipelines to bridge core platforms and reporting tools
• Develop defensive mechanisms, validation loops, and circuit breakers to ensure data consistency and prevent budget overruns
• Lead the migration of custom data processing pipelines into a modern, scalable data architecture
• Collaborate with backend, frontend, and product managers to design high-performance database schemas and low-latency API contracts
• Drive operational excellence through proactive monitoring, system reliability, and application stability
• Set engineering standards and balance technical innovation with long-term maintainability

Requirements

• 5+ years of experience in Data Platform Engineering
• 7+ years of experience in Software Engineering
• Proficiency in Python for custom data logic and validation drivers
• Experience with batch-workflow orchestration (Dagster or similar)
• Advanced SQL skills and experience with Cloud Data Warehousing (BigQuery)
• Knowledge of OLAP databases (ClickHouse)
• Experience with OpenSearch or Elasticsearch
• Practical knowledge of dbt
• Experience with observability and telemetry tools (Datadog)
• Strong communication skills and ability to explain complex architectural concepts

Preferred Qualifications

• Domain expertise in E-commerce, Retail-Tech, or AdTech ecosystems
• Ability to read object-oriented PHP and frameworks like Laravel

About the Company

ABOUT YOU is one of Europe's fastest-growing e-commerce companies. Based in Hamburg and Berlin, we combine fashion and technology to rethink online shopping. We value flat hierarchies, direct communication, and pragmatic decision-making in a highly autonomous environment.