Staff Data Engineer (m/w/d)
Core
Design, develop, and operate high-performance data pipelines moving core platform data into client-facing reporting and analytics systems.
Role type
Staff Data Engineer
Builds
Scalable data processing solutions, event-driven batch workflows, and robust information models for client-facing analytics.
Domain
B2B and B2C tech markets, eCommerce, retail, ad-tech
Deliverable
production ML models | product features | infrastructure
Required skills
Python, data platform engineering, event-driven batch workflows, database technology selection and optimization, monitoring and observability implementation, architectural decision-making
Preferred skills
Modern data orchestration and transformation tools (Dagster, dbt), eCommerce/retail/ad-tech domain knowledge, PHP/Laravel environment experience
Technologies
Python, Datadog, Dagster, dbt, PHP, Laravel
Responsibilities
Design and operate high-performance data pipelines; assess data storage and modeling strategies; lead transformation of data workflows to modern scalable architecture; collaborate with backend and analytics teams on data structures; improve operational reliability via monitoring and automation; define engineering standards and evaluate technical trade-offs.