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# Data Engineer (all genders)

- **Company:** QVC
- **Location:** Düsseldorf, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Word, Microsoft Excel, Microsoft Windows, Amazon Web Services, Microsoft Azure, Big Data, Microsoft Outlook, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Linux, Python (Programming Language), Machine Learning, Microsoft Office, Microsoft SQL Server, Microsoft PowerPoint, Jupyter Notebook, Google Cloud, Data Storage Technologies, Real Time Systems, Data Ingestion, Apache Spark, Information Technology, Data Management, Data Pipelines, Docker, Databricks, Oracledb
- **Published:** July 5, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=3cd60daa231b7951

## About the Role

* Bachelor's degree in computer science, Applied Mathematics, Engineering or a related technology field, or equivalent practical experience.
 * Experience with advanced data management systems such as Oracle DB and SQL Server, including data modelling, structuring approaches, strong SQL knowledge, ETL tools and large data sets.
 * Basic understanding of data science and machine learning concepts, combined with solid Python programming skills, ideally with experience in Jupyter Notebooks.
 * Familiarity with real-time processing frameworks such as Spark, plus working knowledge of Linux, Windows and related infrastructure components.
 * Experience with cloud platforms such as GCP, AWS, Azure and Databricks, and the ability to contribute to CI/CD solutions, with familiarity in Docker and data ingestion tools such as ADF.
 * Strong MS Office skills in Word, Excel, PowerPoint and Outlook, along with strong communication, analytical, organisational and problem-solving skills, and the ability to build trusted relationships with stakeholders.

## Description

We are looking for a skilled Data Engineer to join our Advanced Analytics team. As a key member of the organisation, this role is responsible for managing and optimising data storage and data models that support business-specific use cases. Working closely with cross-functional stakeholders, the Data Engineer helps enable cloud-based machine learning initiatives and supports the technical infrastructure required for scalable analytics solutions., * Design, build and optimize scalable data pipelines and ELT/ETL processes to deliver trusted data across cloud platforms aligned with business and analytics needs.

 * Monitor and troubleshoot data pipelines, platform performance and data issues while maintaining data quality, integrity, availability and reliability.
 * Contribute to cloud data architecture, data models and engineering standards, and support improvements in tooling, automation, documentation and deployment processes.
 * Work closely with data scientists, analysts, product owners and business stakeholders to deliver fit-for-purpose data solutions and communicate technical topics clearly.
 * Stay up to date with emerging cloud, data engineering and automation technologies, and apply new tools and methods where appropriate.
 * Carry out other responsibilities aligned to the role as delegated by relevant leadership


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