Data & Analytics Engineer

Role Overview

The Data & Analytics Engineer will unlock and link editorial data sources on the central data platform on Databricks/AWS, integrate, model, and transform content, usage, and business data, and make them available for AI engineers, analysts, and product teams in a performant and scalable way.

What You Will Do

The Data & Analytics Engineer will develop and maintain uniform key figures for editorial content, usage, products, and processes, develop dashboards, automated reports, and data-based applications, automate recurring data preparation, analysis, and reporting processes, and support editorial product development and AI innovation.

Why It Might Be a Fit

The Data & Analytics Engineer will work closely with the editorial team, product managers, and the data and AI team, share knowledge about documentation, reviews, and pairing, and have a good understanding of data quality, documentation, and reproducible development processes in the context of AI and analysis use cases.

Requirements

• Several years of experience in data engineering or analytics engineering with modern cloud stacks (ideally AWS + Databricks)
• Very good at SQL and Python
• Experience with PySpark and Delta Lake
• Basic understanding of ETL/ELT processes and the connection of data sources
• Experience with analytical data models, ideally with Bronze/Silver/Gold or dimension models
• Good understanding of data quality, documentation, and reproducible development processes in the context of AI and analysis use cases
• Experience with dashboards, self-service analytics, and data binding of AI applications (e.g. via vector databases)
• Understanding of the requirements of editorial work and interest in media, journalism, and editorial AI applications
• Analytical and solution-oriented work style
• Proficient in German and English (C1, professional language skills)

Benefits

• Independent activity in a varied and exciting working environment
• Open working atmosphere through flat hierarchies and great colleagues
• Space for private projects
• Flexible working hours
• Mobile work
• Company pension
• Attractive remuneration package including 13th salary and vacation pay