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About the Role
Develop a modern data platform that enables analytics, reporting, and data-driven decisions across the company. Contribute to building a scalable data architecture and actively shape the path to a data-driven organization.
Responsibilities
- Design, develop, and operate modern data platforms in Microsoft Azure and Microsoft Fabric.
- Ensure high-quality, complete, and reproducible data for analytics, reporting, and machine learning applications.
- Implement efficient incremental data loading processes.
- Develop and maintain efficient ETL/ELT processes and API-based data integrations.
- Develop robust monitoring, logging, and error handling concepts.
- Continuously optimize performance, costs, and data workflows.
- Contribute to building a scalable data architecture including test, staging, and production environments.
- Collaborate closely with the Head of Data & Analytics and Data Analysts.
- Provide high-quality data for Power BI dashboards and machine learning models.
Requirements
- Minimum 3-5 years of professional experience in building and operating data pipelines or data platforms.
- Solid knowledge of Microsoft Azure Data Services, especially Data Factory and/or Azure Synapse.
- Very good knowledge of SQL and Python, especially in ETL/ELT processes and automation.
- Experience in data modeling, ideally with Bronze, Silver, and Gold layer architectures.
- Knowledge in data quality management, monitoring, logging, and performance optimization.
- Experience in independently implementing technical projects.
- Structured, solution-oriented way of working.
- Strong team orientation and enjoyment of collaboration in an international environment.
- Fluent German or English language skills. If German skills are lower (from B1), very good English skills are required.
Skills
- Microsoft Azure Data Services
- Data Factory
- Azure Synapse
- Microsoft Fabric
- SQL
- Python
- ETL
- ELT
- Data Modeling
- Data Quality Management
- Monitoring
- Logging
- Performance Optimization
- CI/CD
- dbt
- Airflow
- Power BI
- Machine Learning
- API-based data integrations
- Delta processing
- Openbridge
Location
- Berlin
Work Type
- Hybrid
- 40-hour week
- Flexible start time (6:00-10:00)
Experience Level
- Mid-level
- Senior-level
Salary/Compensations
- Competitive salary commensurate with experience and qualifications
Benefits
- Performance-based fixed salary
- 2 home office days per week
- Permanent employment contract
- 30 vacation days
- Professional development support
- Modern office in Berlin Lichtenberg
- Subsidized public transport ticket or free parking
- Flat hierarchies
- Open communication
- "Du" culture
- Regular team and company events
- Free drinks
- Fresh fruit
- Employee discounts on products
- Corporate benefits
About the Company
- A dynamically growing e-commerce service agency in Berlin.
- One of the most successful Amazon sellers in Germany.
- Sells thousands of products.