Unternehmensbeschreibung DOUGLAS is the number one omnichannel premium beauty destination in Europe. The company is inspiring customers to live their own kind of beauty by offering a unique assortment online and in around 1,850 stores. With unparalleled size and access to customers, DOUGLAS is the partner of choice for brands and offers a selected range of selective and exclusive brands as well as own corporate brands. The assortment includes fragrances, make-up, 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 company’s strategy “Let it Bloom – DOUGLAS 2026”. The winning business model is underpinned by DOUGLAS’ omnichannel proposition, leading brands, and data capabilities. In the fiscal year 2022/23, DOUGLAS generated sales of 4.1 billion euros and employed around 18,000 people across Europe. DEIN Arbeitsumfeld For our headquarters in Düsseldorf we are looking for you as TASKS WITH IMPACT You design and implement innovative business intelligence and big data solutions based on our central analytical platform You support a wide range of data-oriented use cases to optimize business processes You will be responsible for designing, building and operating robust data flows and structures in our data lakehouse based on a modern data stack To ensure a trustworthy database, you use our data quality concepts and contribute to their further development You work closely with the architects, data engineers, analysts and the departments involved You are involved in the continuous development of our data integration standards YOUR SKILLS Successfully completed Bachelor's or Master's degree in (business) mathematics, (business) computer science or a comparable course of study Several years of experience in handling and transforming large amounts of data in classic data warehouses, cloud data warehouses and big data platforms Two years of implementation experience in the data engineering environment (Dbt, SQL, Python, Airflow, Prefect, Fivetran, Azure data factory, Talend) Experience in data integration from various sources (SAP, DB2, MS SQL, Kafka, Azure Service Bus, Google Analytics, Adobe Analytics, etc.) Data management in relational databases Experience in project work, both in agile and classic environments (Scrum, Kanban, waterfall) Strong analytical and conceptual skills as well as a high degree of personal responsibility High team orientation and strong communication skills Fluent in written and spoken German and English Passion and commitment: State of the art is your claim and this is how we shape Data & BI at Douglas together OUR BENEFITS FOR YOU ✔️ We enable you with trust and space to drive things forward independently With us, an open culture is what you can expect, providing plenty of room for new ideas Direct communication and fair collaboration are important for us Your personal development: We want you to grow with us. Become part of our mentoring program, make use of our E-learning platforms and take advantage of many more individual development offers. 30 days of vacation per year You like a hybrid working model? We offer a balance between mobile work and office days in a collaborative environment (average of 8 days/month) Cherry on top: Our employee discount for both online and in store is the cherry on the top. Not enough? More discount opportunities are available to you thanks to our corporate benefits. ️ You like fitness? Great! Then our gym pass is just right for you. 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. DOES THIS APPLY TO YOU? Then become part of our international company and send your application including your earliest possible starting date and your salary expectations. As an international employer, we stand for equal opportunities and diversity. Therefore, we 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 you want us to allow more time for the application process. We can´t wait to meet you! Job Reference: HQ01381