Senior Data Engineer (m/f/d) at Eberlein und Kunz GbR | BE, DE | Rezi

Senior Data Engineer (m/f/d) at Eberlein und Kunz GbR

Senior Data Engineer (m/f/d)

Eberlein und Kunz GbR · BE, DE

1 weeks ago

Senior Data Engineer (m/f/d)

Eberlein und Kunz GbR · BE, DE

9 days ago
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About the Role

As a Senior Data Engineer, you will be a core member of our Data & Analytics team, playing a key role in building the foundation for data-driven decision-making across the company. You will design, build, operate, and continuously improve Azure data pipelines in Microsoft Fabric, ensuring data quality, completeness, and reproducibility.

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

Requirements

  • Design, build, and operate modern data pipelines in Microsoft Azure and Microsoft Fabric, ensuring high data quality, efficiency, and scalability.
  • 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
  • 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

Skills

  • Microsoft Azure
  • Microsoft Fabric
  • Data Factory / Synapse
  • SQL
  • Python
  • ETL/ELT
  • Automation
  • Incremental loading
  • Delta processing
  • Data modeling
  • Data quality management
  • Power BI
  • Semantic layers
  • Monitoring
  • Logging
  • Performance optimization
  • API-based data integration
  • CI/CD
  • dbt
  • Airflow
  • GitHub Actions
  • Azure DevOps

Location

  • Berlin

Work Type

  • Hybrid work model
  • remote work on 2 out of 5 days per week

Experience Level

  • Senior
  • 5+ years of experience

Salary/Compensations

  • Competitive salary package

Benefits

  • Flexible working hours with a start window between 6:00 and 10:00 a.m.
  • Attractive employee discounts on our full product portfolio
  • Access to 1,500+ offers via our Corporate Benefits partner
  • Subsidy for public transport tickets
  • Many additional benefits

About the Company

  • 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.