Data Platform Engineer (m/w/d)

Responsibilities

We are representing a rapidly growing e-commerce organization in Berlin that requires a talented Data Platform Engineer to build and operate modern data infrastructure. In this role, you will design and maintain scalable data platforms using Microsoft Azure and Microsoft Fabric, ensuring high-quality data flows reliably to support analytics, reporting, and machine learning applications across the business.

Your core responsibilities include:

• Designing, developing, and continuously improving modern data pipelines in Microsoft Azure and Microsoft Fabric
• Ensuring high data quality, completeness, and reproducibility while implementing efficient incremental data loading processes
• Building and maintaining efficient ETL/ELT processes and API-based data integrations
• Developing robust monitoring, logging, and error handling concepts while continuously optimizing performance, costs, and data workflows
• Contributing to the development of a scalable data architecture including test, staging, and production environments using modern technologies such as CI/CD, Fabric Pipelines, dbt, or Airflow
• Collaborating closely with data leadership and analysts to deliver high-quality data for Power BI dashboards and machine learning models

What We're Looking For

Our client seeks a skilled professional with at least 3-5 years of experience building and operating data pipelines or data platforms. Senior-level candidates are preferred, though motivated mid-level professionals are welcome to apply.

Required qualifications:

• Strong expertise in Microsoft Azure Data Services, particularly Data Factory and/or Azure Synapse; experience with Microsoft Fabric is highly valuable
• Excellent SQL and Python skills, especially for ETL/ELT processes and automation
• Experience with data modeling, ideally using Bronze, Silver, and Gold layer architectures
• Knowledge of data quality management, monitoring, logging, and performance optimization
• Proven track record of independently executing technical projects with a structured, solution-oriented approach
• Strong team orientation and enthusiasm for working in an international environment
• Fluent German or English (minimum B1 German required if English is primary language)

Valuable additional skills:

• Experience with incremental loading processes and delta processing
• Data integration experience for Power BI and semantic models
• E-commerce or marketplace platform knowledge
• API-based data integration expertise
• CI/CD experience with GitHub Actions or Azure DevOps
• Interest in machine learning and building data-driven organizations
• Experience with Openbridge

The position offers a hybrid working model with 2 home office days per week, flexible hours (start time between 6:00-10:00), and 30 days vacation. The office is located in Berlin-Lichtenberg with excellent public transport connections and free parking.

How We Work With You

Our talent team at Get A Job.ai partners with this confidential e-commerce client to identify exceptional data engineering professionals. When you apply through our platform, a dedicated recruiter will conduct an initial screening call to discuss your experience and career goals. If there's a strong match, we'll submit your profile to our client and guide you through their interview process. Please apply exclusively through Get A Job.ai—direct contact with the client is not possible at this stage.

Pay

Compensation details will be discussed during the screening process and are competitive with the Berlin market for experienced Data Platform Engineers.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates regardless of background, identity, or circumstance.