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# Professional E-Commerce Data Delivery Berlin

- **Company:** Schwarz Unternehmenskommunikation GmbH & Co. KG
- **Location:** Berlin, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Apache HTTP Server, Big Data, Continuous Integration, Data Validation, Data Infrastructure, Extract Transform Load (ETL), DevOps, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Workflow Management Systems, Cloud Platform System, Apache Spark, Containerization, Data Lakes, Kubernetes, Data Delivery, Data Pipelines, Databricks
- **Published:** May 22, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=e872ae73c3e4e7d7

## About the Role

Do you have experience in Unity?, * +4 years of industry experience as a Data Engineer

 * Experience developing large scale batch & streaming ETLs in spark, preferably in Databricks
 * Expertise developing in Python. Scala knowledge is a plus
 * Good command of Apache Airflow for workflow orchestration
 * Experience working in cloud environments, preferably GCP
 * Strong hands-on experience with modern, open-source table formats such as Apache Iceberg or Delta Lake to manage large-scale data lakehouse architectures
 * Proven track record managing data access controls, CLS, RLS and cataloging workflows. Experience with Unity Catalog is a plus
 * Hands-on experience working with containerized applications, preferably orchestrated in Kubernetes
 * Experience working with Google Pub/Sub is preferred
 * Knowledge of the software development cycle and its best practices (e.g. CI/CD, DevOps, testing)
 * Analytical skills, an eye for data quality, agile mindset, independence and hands-on mentality

## Description

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group., * Develop and operate productive ETL pipelines for reports, analysis and machine learning and ensure their quality and sustainability

 * Use your software development skills and set new standards for development and deployment
 * Optimize the performance of data engineering solutions and guarantee their scalability
 * Ensure data quality and consistency through data validation and cleansing
 * Monitor and fix errors in the data infrastructure to minimize downtime
 * Implement data security and privacy measures
 * Work in interdisciplinary agile teams with data scientists, data engineers, product owners and departments


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