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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

• Develop and operate modern data platforms in Microsoft Azure and Microsoft Fabric, ensuring high-quality data is reliably available for analytics, reporting, and machine learning applications.
• Conceive, develop, and continuously improve modern data pipelines in Microsoft Azure and Microsoft Fabric.
• Ensure high data quality, completeness, and reproducibility, and 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, and continuously optimize performance, costs, and data workflows.
• Contribute to building a scalable data architecture, including test, staging, and production environments, and modern technologies like CI/CD, Fabric Pipelines, dbt, or Airflow.
• Coordinate closely with the Head of Data & Analytics and Data Analysts to 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, ideally at a senior level; motivated mid-level profiles are also welcome.
• Sound knowledge of Microsoft Azure Data Services, especially Data Factory and/or Azure Synapse; ideally complemented by experience with Microsoft Fabric.
• Very good knowledge of SQL and Python, particularly in ETL/ELT processes and automation.
• Experience in data modeling, ideally with Bronze, Silver, and Gold layer architectures.
• Knowledge of data quality management, monitoring, logging, and performance optimization.
• Experience in independently implementing technical projects and a structured, solution-oriented approach to work.
• 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 processes
• Automation
• Data modeling
• Bronze/Silver/Gold layer architectures
• Data quality management
• Monitoring
• Logging
• Performance optimization
• CI/CD
• dbt
• Airflow
• Power BI
• Machine Learning

Location

• Berlin

Work Type

• Hybrid
• 40-hour week
• Flexible start time (6:00-10:00)

Experience Level

• Senior-level
• Mid-level

Salary/Compensations

• Performance-based fixed salary commensurate with experience and qualifications

Benefits

• Attractive remuneration
• Flexible working model with 2 home office days
• Permanent employment contract
• 30 vacation days
• Active support for professional and personal development
• Modern office in Berlin Lichtenberg
• Subsidized job ticket or free parking
• Flat hierarchies, open communication, 'Du' culture
• Regular team and company events
• Free drinks and fresh fruit
• Attractive employee discounts on the product range
• Other 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.