Data & Analytics Engineer (m/w/d)
Core
Build and maintain a central data platform on Databricks/AWS to integrate, model, and transform content, usage, and business data for AI engineers, analysts, and product teams.
Role type
Data & Analytics Engineer
Builds
Central data platform, data models, dashboards, automated reports, and data-driven applications for editorial teams.
Domain
Media & Journalism, Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, PySpark, Delta Lake, ETL/ELT, Data Modeling (Bronze/Silver/Gold, Dimensions), Git, Data Quality, Documentation
Preferred skills
Dashboards, Self-Service Analytics, Vector Databases, AI/LLM data integration, Editorial/Journalism domain knowledge
Responsibilities
Explore and link editorial data sources on the central data platform; Integrate, model, and transform content, usage, and business data; Ensure data quality, consistency, documentation, and traceability; Develop and maintain uniform KPIs for editorial content, usage, products, and processes; Develop and optimize dashboards, automated reports, and data-driven applications; Automate recurring data preparation, analysis, and reporting processes; Support editorial product development and AI innovation with reusable, quality-secured data models; Develop editorial impact measurement for AI-driven work processes, features, agents, and journalistic products.
Seniority
Mid-Senior, hands-on IC
