Data Engineer (m/w/d)

About This Opportunity

We are representing a confidential e-commerce organization based in Berlin that is building out a modern data and analytics platform. Our talent team is seeking an experienced Data Engineer to develop scalable data architectures that enable analytics, reporting, and data-driven decision-making across the business.

This role offers the opportunity to work with cloud data platforms and shape the evolution toward a data-driven organization. You'll be developing robust data pipelines and collaborating closely with analytics teams to deliver high-quality data infrastructure.

Responsibilities

• Design, develop, and maintain modern data pipelines in Microsoft Azure and Microsoft Fabric environments
• Ensure high data quality, completeness, and reproducibility through efficient incremental loading processes
• Build and maintain ETL/ELT processes and API-based data integrations
• Develop monitoring, logging, and error-handling frameworks while continuously optimizing performance and costs
• Contribute to scalable data architecture including test, staging, and production environments using technologies such as CI/CD, Fabric Pipelines, dbt, or Airflow
• Collaborate with data leadership and analysts to provide quality data for dashboards and machine learning applications

What We're Looking For

Required:

• 3–5 years of experience building and operating data pipelines or data platforms (senior-level preferred; motivated mid-level candidates welcome)
• Strong knowledge of Microsoft Azure Data Services, particularly Data Factory and/or Azure Synapse; Microsoft Fabric experience is a plus
• Excellent SQL and Python skills, especially for ETL/ELT processes and automation
• Experience with data modeling, ideally using Bronze-Silver-Gold layer architectures
• Knowledge of data quality management, monitoring, logging, and performance optimization
• Proven ability to independently execute technical projects with a structured, solution-oriented approach
• Strong team orientation and enjoyment of collaboration in international environments
• Fluent German or English (minimum B1 German with excellent English, or fluent German)

Nice to Have:

• Experience with incremental loading and delta processing
• Data integration experience for business intelligence tools and semantic models
• E-commerce domain knowledge
• API-based data integration experience
• CI/CD knowledge with GitHub Actions or Azure DevOps
• Interest in machine learning and building data-driven organizations

Work Arrangement: Hybrid model with 2 home office days per week, based in Berlin (Lichtenberg district). Flexible hours with start times between 6:00–10:00 AM.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening call to discuss your background and provide detailed information about the role and our client. Once aligned, we will submit your profile to the client for consideration. Please do not contact the client directly—all communication should go through our team to ensure a smooth process.

Equal Opportunity

Get A Job.ai is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.