Data Warehouse Architect (f/m/d)

Full time Data Engineering Business Intelligence Software Engineering Data Warehouse

Job Description

DOUGLAS is the leading omnichannel provider of premium beauty in Europe. The company inspires its customers to live their own kind of beauty by offering a unique range online and in around 1,850 stores. DOUGLAS is the partner of choice for brands and offers a selected range of exclusive brands as well as its own corporate brands. The range includes fragrances, make-up, skin care, hair care, accessories and beauty services. Strengthening the successful omnichannel positioning and consistently developing the customer experience are at the heart of the corporate strategy "Let it Bloom - DOUGLAS 2026". The successful business model is based on DOUGLAS' omnichannel offering, leading brands and data expertise. In the 2022/23 financial year, DOUGLAS generated sales of 4.1 billion euros and employed around 18,000 people across Europe.

TASKS WITH IMPACT
  • Design, manage and optimize a scalable and cost-effective data, BI and ML architecture that covers the analytical requirements with the relevant tools (storage, compute, visualization).
  • Implement and optimize data models using common DWH methods such as 3NF, Data Vault, Dimensional Models or OBT to enable efficient analysis and reporting.
  • Develop technical solution designs in close collaboration with business stakeholders, data engineers and BI consultants.
  • Create data governance and security policies (e.g. access controls, data protection) and ensure compliance with regulatory requirements.
  • Implement and actively share best practices for data warehousing, ELT development and reporting.
  • Create and maintain technical documentation on BI architecture, data architecture, data models and processing processes.
  • Continuously align the BI architecture closely with the corporate architecture and the operational IT areas.
YOUR SKILLS
  • In-depth knowledge of tools and ecosystems of modern data stacks (ETL, storage and compute, reporting and analytics) as well as architectural frameworks.
  • Excellent knowledge of common DWH modeling approaches (e.g. 3NF, Data Vault, Dimensional Models).
  • Solid experience in (EL)T development with SQL and dbt.
  • Very good knowledge of cloud-based data platforms (e.g. Snowflake, GCP) including strategies for cost and performance optimization.
  • Strong communication and visualization skills.
  • Familiarity with tools such as Git, Prefect (scheduling) and SLED (data catalog and lineage).
YOUR BENEFITS

Your personal development: We want you to grow with us. Become part of our mentoring program, use our e-learning platforms and benefit from many other individual development opportunities.

✔️ Open feedback culture: half-yearly meetings & performance reviews (#DOUGLASDialogue)

30 days of vacation per year

Do you want a hybrid working model? We offer a balance between mobile working and office days in a collaborative environment. (approx. 8 days/month)

Cherry on top: You get our employee discount both online and in store. On top of that, you get further discount opportunities thanks to our corporate benefits.

️ Do you like fitness? Then our running group and our gym pass are just right for you.

In-house canteen & bistro , as well as free drinks

A positive and motivating environment & celebrating successes at regular company events such as DOClub, summer party, Women's Day, etc.

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 look forward to receiving 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, you need barrier-free access to our offices or we should allow more time for the application process.

We look forward to seeing you!

Job Reference: HQ01566