Data Platform Engineer

About the role

As a Data Platform Engineer, you will design and operate modern data platforms in Microsoft Azure and Microsoft Fabric to support analytics, reporting, and machine learning. You will play a key role in building scalable data architectures and driving the company's transition toward 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 provide high-quality data for Power BI dashboards and machine learning models.

Required skills

• Microsoft 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

Benefits

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

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.