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About the Role
As a Data & Analytics Engineer at Deutsche Presse-Agentur (dpa), you will be responsible for connecting editorial data sources on our central data platform, integrating, modeling, and transforming content, usage, and business data. You will ensure data quality, consistency, and provide performant and scalable data for AI Engineers, analysts, and product teams. This role involves developing and maintaining key performance indicators, enhancing dashboards and reports, and supporting editorial product development and AI innovation with reusable data models.
Responsibilities
- Connect editorial data sources on our central data platform (Databricks/AWS).
- Integrate, model, and transform content, usage, and business data.
- Provide data performantly and scalably for AI Engineers, analysts, and product teams.
- Ensure data quality, consistency, documentation, and traceability.
- Develop and maintain uniform key figures for editorial content, usage, products, and processes.
- Develop and optimize dashboards, automated reports, and data-driven applications for editorial teams.
- Automate recurring data preparation, analysis, and reporting processes.
- Support editorial product development and AI innovation with reusable, quality-assured data models.
- Develop editorial impact measurement for AI-supported work processes, features, agents, and journalistic products.
- Collaborate closely with editorial, product management, and the data and AI team.
- Share knowledge through documentation, reviews, and pairing.
- Work collaboratively with colleagues in Berlin or Hamburg.
Requirements
- Several years of experience in Data Engineering or Analytics Engineering with modern cloud stacks (ideally AWS + Databricks).
- Proficiency in SQL and Python.
- Ideally, experience with PySpark and Delta Lake.
- Basic understanding of ETL/ELT processes and data source integration.
- Experience with analytical data models (ideally Bronze/Silver/Gold or dimensional models).
- Ability to translate business requirements into robust, documented data models.
- Good understanding of data quality, documentation, and reproducible development processes in the context of AI and analysis use cases.
- Proficient use of Git.
- Ideally, experience with dashboards, self-service analytics, and data integration for AI applications (e.g., via vector databases).
- Understanding of editorial work requirements and interest in media, journalism, and editorial AI applications.
- Ability to work interdisciplinarily and explain technical concepts clearly.
- Analytical and solution-oriented approach.
- Very good German and English language skills (C1, professional language skills).
Skills
- Data Engineering
- Analytics Engineering
- Cloud Stacks (AWS, Databricks)
- SQL
- Python
- PySpark
- Delta Lake
- ETL/ELT
- Data Modeling
- Data Quality
- Documentation
- Git
- Dashboards
- Self-Service Analytics
- AI Application Data Integration
- Vector Databases
Location
- Berlin
Work Type
- Full-time
- Permanent
- Mobile working possible
Experience Level
- Several years of experience
Salary/Compensations
- Attractive salary package including 13th salary and holiday bonus
Benefits
- Independent work in a varied and exciting work environment
- Open work atmosphere with flat hierarchies
- 37.5-hour week
- At least 30 days of vacation
- 7 additional days off per year
- Flexible working hours
- Opportunity for mobile working
- Tailored further and continuing education and training
- Company pension scheme
About the Company
- Deutsche Presse-Agentur (dpa) was founded in 1949 and is one of the world's leading independent news agencies.
- dpa supplies media, companies, and organizations with editorial content, including text, photos, videos, graphics, radio contributions, and other formats.
- As an internationally active agency, dpa reports in seven languages.
- Around 1000 journalists work from approximately 150 locations domestically and abroad.
- dpa's shareholders are around 170 German media companies.
- The dpa editorial team operates according to the principles set out in the dpa statute: independent of worldviews, businesses, or governments.