Skip to main content
Back to all jobs

Senior Data Engineer (m/f/d)

Hybrid, Berlin
Full-time
Permanent employee

Preamble

We are a fast-growing e-commerce service agency based in Berlin. Since 2013, we have been helping retailers, brands, and manufacturers unlock their full potential in e-commerce, with a particular focus on the Amazon marketplace. Our core categories include food, natural cosmetics, household goods, and other high-demand consumer products. Many of our clients rank among the bestsellers in their respective categories.

Our success is driven by a team of 70 colleagues. We work in a data-driven, systematic, and structured way, with clear ownership and accountability, in an environment that makes performance visible and enables meaningful progress.

We think entrepreneurially and take a long-term approach: we test what works, make it scalable, and build strong, lasting partnerships with brands, suppliers, and our team.

To strengthen our team, we are looking for an experienced Senior Data Engineer (m/f/d) to take our data platforms and pipelines to the next level. 

As a Senior Data Engineer at Eberlein Kunz, you will be a core member of our Data & Analytics team and play a key role in building the foundation for data-driven decision-making across the company.

Your Responsibilities

  • Design, build, operate, and continuously improve Azure data pipelines in Microsoft Fabric
  • Ensure data quality, completeness, and reproducibility
  • Implement incremental data loading processes to improve efficiency
  • Develop robust monitoring, logging, and error-handling systems
  • Set up and maintain test, staging, and production environments
  • Collaborate closely with the Head of Data & Analytics and Data Analysts to provide data for Power BI dashboards and machine learning models
  • Contribute to building a scalable data architecture (e.g. CI/CD, dbt, Airflow, Fabric Pipelines)
  • Document, optimize, and cost-optimize data workflows
  • Build and maintain API-based data integrations

Your profile

You design, build, and operate modern data pipelines in Microsoft Azure and Microsoft Fabric, ensuring high data quality, efficiency, and scalability. Your work enables reliable analytics, reporting, and machine learning across the organization.
  • 5+ years of experience building and operating data pipelines or data platforms 
  • Strong expertise in Azure Data Services, Microsoft Fabric, Data Factory / Synapse 
  • Solid hands-on experience with SQL and Python (ETL/ELT, automation) 
  • Experience with incremental loading and delta processing 
  • Strong knowledge of data modeling (Bronze/Silver/Gold layers) and data quality management 
  • Experience integrating data for Power BI and working with semantic layers 
  • Proven skills in monitoring, logging, and performance optimization 
  • Structured, self-driven working style with strong team orientation 
  • professional proficiency in English  
  • German language skills are a plus 

Nice-to-haves

  • Experience in e-commerce or the Amazon ecosystem
  • Knowledge of API-based data extraction, Openbridge, and CI/CD (GitHub Actions, Azure DevOps)
  • Interest in machine learning integration
  • Passion for building data-driven organizations

Why us?

  • A dynamic company that is among the leading Amazon e-commerce sellers in the German-speaking region
  • A diverse and inclusive work environment that supports sustainable business success
  • A competitive salary package
  • Flexible working hours with a start window between 6:00 and 10:00 a.m. to support work-life balance
  • Hybrid work model: remote work on 2 out of 5 days per week
  • Attractive employee discounts on our full product portfolio
  • Access to 1,500+ offers via our Corporate Benefits partner
  • Subsidy for public transport tickets
  • And many additional benefits

About us

We are a fast- growing e-commerce service agency based in Berlin. Since 2013, we have been helping retailers, brands, and manufacturers unlock their full potential in e-commerce, with a particular focus on the Amazon marketplace. Our core categories include food, natural cosmetics, household goods, and other high-demand consumer products. Many of our clients rank among the bestsellers in their respective categories.

Our success is driven by a team of 70 colleagues. We work in a data-driven, systematic, and structured way, with clear ownership and accountability, in an environment that makes performance visible and enables meaningful progress.

We think entrepreneurially and take a long-term approach: we test what works, make it scalable, and build strong, lasting partnerships with brands, suppliers, and our team.