Senior Data Engineer

About the role

As a Data Engineer, you will develop and operate modern data platforms using Microsoft Azure and Microsoft Fabric to ensure high-quality data is available for analytics, reporting, and machine learning. You will play a key role in building scalable data architectures and shaping the company's transition into a data-driven organization.

Responsibilities

• Design, develop, and maintain modern data pipelines in Microsoft Azure and Microsoft Fabric.
• Ensure high data quality, completeness, and reproducibility through efficient incremental loading processes.
• Develop and maintain ETL/ELT processes and API-based data integrations.
• Implement robust monitoring, logging, and error handling concepts while optimizing performance and costs.
• Collaborate on building scalable data architectures including test, staging, and production environments.
• Work closely with the Head of Data & Analytics and Data Analysts to support Power BI dashboards and machine learning models.

Required skills

• Microsoft Azure Data Services
• Azure Data Factory
• Azure Synapse
• SQL
• Python
• ETL/ELT
• Data modeling
• Data quality management
• Monitoring
• Logging

Nice to have

• Microsoft Fabric
• Incremental loading
• Delta processing
• Power BI
• E-commerce
• API integration
• CI/CD
• GitHub Actions
• Azure DevOps
• Machine Learning

Qualifications

• 3-5 years of professional experience in building and operating data pipelines or platforms
• Fluency in German or English (B1 minimum for German)

Benefits

• Flexible working hours
• 30 days of vacation
• Professional development support
• Subsidized public transport ticket
• Free parking
• Employee discounts
• Free drinks and fruit
• Team events

About the Company

The client is a dynamically growing e-commerce service agency based in Berlin, recognized as one of Germany's most successful Amazon retailers.