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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Douglas GmbH - **Location:** Düsseldorf, Germany - **Experience:** Expert - **Salary:** €20,713.0 - **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:** August 23, 2026 - **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/20713-44391266-820-S ## 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 Douglas Service GmbH TASKS WITH IMPACT * 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 YOUR SKILLS * ## 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) ### More Jobs at Douglas GmbH - [(Senior) Analytics Manager Demand & Order Management](https://www.wearedevelopers.com/jobs/ext/2108688-senior-analytics-manager-demand-order-management) - [Director SAP S/4 HANA Transformation](https://www.wearedevelopers.com/jobs/ext/1643885-director-sap-s-4-hana-transformation) - [Senior Data Engineer](https://www.wearedevelopers.com/jobs/ext/1589390-senior-data-engineer) ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Are Code Reviews Worth It? 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