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# Senior Data Engineer

- **Company:** Douglas GmbH
- **Location:** Düsseldorf, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Automation of Tests, Code Review, Continuous Integration, Information Engineering, Data Integration, Data Warehousing, Database Queries, Python (Programming Language), Role-Based Access Control, Trunk-based Development, Snowflake, Git, Dynamic Data, Atlassian Bamboo
- **Published:** July 7, 2026
- **Apply:** https://www.jobbird.com/de/stellenangebote/25363574-senior-data-engineer-f-m-x

## About the Role

* Solid experience in Data Engineering is part of your background, ideally within a modern cloud stack and in the context of agile data warehouse development
 * Strong SQL skills and hands-on experience with DBT in production environments are a defining part of your technical profile
 * Python skills are applied by you purposefully for data integration, automation, and orchestration
 * Experience with Snowflake, Prefect or comparable orchestration tools, as well as CI/CD processes, is part of your practical toolkit
 * Data modelling based on Kimball and DataVault is familiar territory for you - you understand the principles and can apply them in context
 * Version-based workflows - Git, pull requests, code reviews, and trunk-based development or comparable approaches - are a natural part of your professional day-to-day
 * Technical standards are something you develop collaboratively within the team, contributing in a structured and solution-oriented way
 * Fluent communication in both German and English - in writing and verbally - rounds off your profile

## Description

* Robust data products are developed and operated by you on our central Snowflake Lakehouse platform using DBT
 * Along our layer architecture, you model data and implement technically sound models based on DataVault and Kimball principles
 * Ingestion connectors are built and maintained by you using Python and DLT, including their orchestration in Prefect
 * Across the entire data lifecycle, you ensure data quality and actively contribute to the further development of our quality standards
 * CI/CD and GitOps processes with Azure Pipelines are shaped by you - including automated testing and clean release processes
 * Security and governance requirements are implemented technically by you, for example RBAC, Dynamic Data Masking, anonymisation, and role-based access concepts in Snowflake
 * In close collaboration with Data Analysts, Analytics Engineers, platform teams, and business units, you actively drive technical standards forward

## About Douglas GmbH

DOUGLAS is a company known for selling cosmetics and beauty products through retail and dotcom. 

But we are also a digital company that focuses on e-commerce, data and innovation. We have an amazing team of diverse and talented people working hard everyday.

Our digital talents master top-notch technologies, push innovations and accelarate performance. They build all the cutting-edge digital features to make the beautiful possible for our customers. This is where our successful digital ...
**Tech Stack:** React, React Native, DevOps, PHP, Agile Methodologies, Amazon Web Services (AWS), Cloud (AWS/Google/Azure) , UX Design
**Industries:** eCommerce, Sales and Marketing

[Company profile](https://www.wearedevelopers.com/companies/2890-douglas-gmbh)

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