Senior Data Engineer (f/m/x)

Douglas; Düsseldorf; Presencial; EUR 70.000 - 100.000; Tempo integral

Resumo da vaga

Douglas is seeking a skilled Data Engineer to join our international team in Düsseldorf. You will build and operate robust data products on our central Snowflake Lakehouse using DBT and enrich data models based on DataVault and Kimball principles.

You will implement ingestion connectors with Python and DL T, orchestrated via Prefect, while ensuring data quality and governance. You will collaborate with Data Analysts, Analytics Engineers, platform teams and business units to lift technical

Qualificações

• Strong data engineering background with cloud stack experience.
• Deep SQL expertise and production DBT usage.
• Proficient Python for data integration and orchestration.
• Familiar with Snowflake, Prefect, CI/CD and Git workflows.
• Knowledge of Kimball and DataVault basics valued.
• Effective written and spoken German/English communication.

Responsabilidades

• Develop and operate robust data products on Snowflake Lakehouse using DBT.
• Model data along the architecture with Data Vault and Kimball principles.
• Ingest data via Python and DL T with Prefect orchestration.
• Ensure data quality and contribute to quality standards.
• Shape CI/CD and GitOps with Azure Pipelines including tests and releases.
• Implement security and governance like RBAC and masking in Snowflake.
• Work with analysts, platform teams and business units to raise standards.

Conhecimentos

Data engineering

SQL

Python

Snowflake

DBT

Prefect

Git

Data modelling

Data governance

German/English communication

Ferramentas

Python DL T workflow tools

Azure Pipelines

Snowflake

DBT

Prefect

Descrição da vaga

• 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

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.

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.