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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.