Data Platform Engineer (m/f/d)

Do you want to do more than just process data, but develop a modern data platform that enables analysis, reporting, and data-driven decisions across the entire company?

Then this position might be just right for you.

Our client, a dynamically growing e-commerce service agency in Berlin, is one of Germany's most successful Amazon sellers and distributes thousands of products.

For the further expansion of the Data & Analytics landscape, we are looking for a personality who develops modern data architectures and actively shapes the path towards a data-driven organization.

Your Benefits

• Attractive remuneration: A performance-related fixed salary that matches your experience and qualifications.

• Flexible working: Hybrid work model with 2 home office days, a 40-hour week, flexible hours with a start time between 6:00 AM and 10:00 AM.

• Long-term security: Permanent employment contract and 30 days of vacation in an economically successful and future-proof company.

• Development: Whether professional or personal – your development will be actively promoted and supported long-term.

• Modern working environment: Look forward to a modern office in the Berlin district of Lichtenberg.

• Mobility: Whether by public transport or by car – benefit from a subsidized job ticket or free parking spaces directly at the office.

• Team culture: Flat hierarchies, open communication, a lived informal culture ('Du' culture), and regular team and company events like 'Grill & Chill' ensure a strong sense of community.

• Catering: Free drinks and fresh fruit are available to you at all times during your workday.

• Employee benefits: Benefit from attractive employee discounts on the product range and other corporate benefits.

Your Responsibilities

As a Data Engineer, you will develop and operate modern data platforms in Microsoft Azure and Microsoft Fabric, ensuring that high-quality data is reliably available for analytics, reporting, and machine learning applications.

• Data Engineering: Conception, development, and continuous improvement of modern data pipelines in Microsoft Azure and Microsoft Fabric.

• Data Quality: Ensuring high data quality, completeness, and reproducibility, as well as implementing efficient incremental data loading processes.

• Data Integration: Development and maintenance of efficient ETL/ELT processes and API-based data integrations.

• Platform Operation: Development of robust monitoring, logging, and error handling concepts, as well as continuous optimization of performance, costs, and data workflows.

• Data Architecture: Participation in building a scalable data architecture including test, staging, and production environments, as well as modern technologies like CI/CD, Fabric Pipelines, dbt, or Airflow.

• Collaboration: Close coordination with the Head of Data & Analytics and Data Analysts to provide high-quality data for Power BI dashboards and machine learning models.

Your Profile as a Data Engineer

• At least 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.

• In-depth 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, especially in the area of ETL/ELT processes and automation.

• Experience in data modeling, ideally with Bronze, Silver, and Gold layer architectures.

• Knowledge in data quality management as well as in monitoring, logging, and performance optimization.

• Experience in self-reliant implementation of technical projects, as well as a structured, solution-oriented approach to work.

• Strong team orientation and enjoyment of collaboration in an international environment.

• Fluent German or English skills. If German skills are lower (from B1), very good English skills are required.

Nice-to-haves – every additional know-how is a plus:

• Experience with incremental loading processes and delta processing.

• Experience in data integration for Power BI and working with semantic models.

• Knowledge in the e-commerce or Amazon environment.

• Experience with API-based data integrations.

• Knowledge of CI/CD, e.g., with GitHub Actions or Azure DevOps.

• Interest in Machine Learning and building data-driven organizations.

• Experience with Openbridge.

Does the role of Data Engineer sound exactly like you? Then send us your resume and we will give you all further information about the position and the company in a short phone call.

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