Senior Data Engineer (m/w/d) - Berlin
Core
Designing, refactoring, and maintaining a BigQuery and dbt Cloud data warehouse stack, including a technical Semantic Layer for Finance KPIs.
Role type
Senior Data Engineer (Data Warehouse & Semantic Layer)
Builds
Scalable data warehouse architecture, ELT pipelines, and a consistent data platform for Finance, Marketing, and App teams.
Domain
Fintech / Healthtech / Data Engineering
Deliverable
production ML models
Required skills
SQL, BigQuery, dbt Cloud, ELT pipelines, REST APIs, OAuth, Python, PHP, Data Modeling (Star Schema), MetricFlow
Preferred skills
Experience with SaaS integrations, long-term architectural thinking, documentation
Technologies
BigQuery, dbt Cloud, MetricFlow, Provet Cloud, Personio, Quinyx
Responsibilities
Refactor and document existing data warehouse architecture; Bind new data sources and develop a canonical ID strategy; Develop the technical Semantic Layer based on Finance KPIs; Collaborate with Finance, Marketing, and BI teams to enable self-service data usage.
