Senior Data Engineer (f/m/x)

• 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

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

• 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

DO YOU RECOGNIZE YOURSELF?

Then become part of our international company and apply, stating your salary expectations and possible starting date.

As an international employer, we stand for equal opportunities and diversity. We therefore welcome applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community. Please let us know if, for example, we should use a gender‑neutral pronoun, if you need barrier‑free access to our offices or if we should allow more time for the application process.

We look forward to hearing from you!

About The DOUGLAS Group

The DOUGLAS Group, with its commercial brands DOUGLAS, NOCIBÉ, Parfumdreams and Niche Beauty, is the number one omnichannel premium beauty destination in Europe. The DOUGLAS Group is inspiring customers to live their own kind of beauty by offering a unique assortment online and in around 1,970 stores. With unparalleled size and access to customers, the DOUGLAS Group is the partner of choice for brands and offers a premium range of selective and exclusive brands as well as own corporate brands. The assortment includes fragrances, color cosmetics, skin care, hair care, accessories as well as beauty services. Strengthening its successful omnichannel positioning while consistently developing superior customer experience is at the heart of the DOUGLAS Group strategy “Let it Bloom”. The winning business model is underpinned by the Group’s omnichannel proposition, leading brands, and data capabilities. In the financial year 2024/25, the DOUGLAS Group generated sales of 4.58 billion euros and employed more than 19,900 people across Europe. The DOUGLAS Group (Douglas AG) is listed at the Frankfurt Stock Exchange.