Senior Data Engineer (m/f/d)

Eberlein und Kunz GbR; Berlin; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

A leading e-commerce company in Berlin is seeking an experienced Senior Data Engineer to enhance data platforms and pipelines. As a core member of the Data & Analytics team, you will design and operate Azure data pipelines to ensure data quality for analytics and machine learning. The ideal candidate has over 5 years experience in data engineering, strong skills in Azure services, and proficiency in SQL and Python. The role offers a competitive salary, hybrid work options, and employee discounts.

Leistungen

Competitive salary package

Flexible working hours

Hybrid work model

Employee discounts

Public transport subsidies

Qualifikationen

• 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).

Aufgaben

• Design, build, operate, and improve Azure data pipelines in Microsoft Fabric.
• Ensure data quality, completeness, and reproducibility.
• Collaborate with the Head of Data & Analytics to provide data for BI dashboards.

Kenntnisse

Azure Data Services

Microsoft Fabric

SQL

Python

Data modeling

Monitoring and logging

Jobbeschreibung

We are a fast-growing e-commerce company based in Berlin. Since 2013, we have been selling selected books and consumer goods on the Amazon marketplace, focusing on food, natural cosmetics, household products, and other high-demand categories. Many of our products are Amazon bestsellers. Our team consists of more than 70 colleagues.

We work in a data-driven and structured way, with clear ownership and accountability. Our work environment values transparency, measurable impact, trust, and collaboration. We encourage creativity, independent thinking, and the freedom to test new ideas.

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 Role

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.

Aufgaben

• 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

Qualifikation

• 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

Benefits

• 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

Sounds like you?

Apply now and become part of the Data & Analytics team at Eberlein Kunz.