Job
In this role, you will develop the data infrastructure for commercial BI, integrate various data sources in dbt, model core data entities, and prepare Commercial data for AI applications.
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Your role in the team
- As a Data Engineer within the Commercial BI team, you will play a pivotal role in building and maintaining the team’s data foundations, with the ultimate goal of enabling data-driven decision-making across the department.
- You will help shape the data strategy within the team and collaborate across departments to ensure a scalable and consistent data foundation.
- Design, build, and maintain the Commercial domain's data products in dbt, integrating sources such as PIM, ERP, and pricing systems into consumer-ready marts.
- Model core commercial entities (products, prices, suppliers, inventory, margins) to ensure product and pricing data is consistent across the company.
- Make commercial data AI-ready by building semantic views and a semantic layer (e.g., dbt Semantic Layer, Snowflake semantic views) with clear metric definitions, so that AI models and agents can query the data accurately.
- Define clear data contracts, model ownership, and versioning so that other domains can rely on Commercial data.
- Make sure data is high quality and delivered on time using dbt tests, freshness checks, and monitoring with clear SLAs.
- Set and enforce analytics engineering best practices (code review, CI/CD, modelling standards) in line with company-wide data mesh governance.
Our expectations of you
Qualifications
- Solid knowledge of data modeling (dimensional, Kimball, layered architectures), data mesh principles, and semantic layers.
- A can-do attitude, comfort with a fast pace, and fluency in English.
Experience
- 3+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role.
- Strong hands-on experience with dbt (dbt Cloud or dbt Mesh is a plus) and excellent SQL skills, ideally with Snowflake.
- Experience with orchestration (e.g. Airflow, dbt Cloud jobs), Git and CI/CD, plus good Python skills.
- A product mindset; experience with commercial data (PIM, pricing, assortment, supplier data) or preparing data for AI/LLM use cases is a strong plus.
What we offer
- This position is permanent and based in Munich.
- A high-performance culture built on trust, feedback and collaboration.
- An inspiring, international environment that empowers you to think big, take ownership, and grow beyond your comfort zone.
- In-Office Culture: 4 office days per week (Mon–Thu) dedicated to fast decision-making, high-impact collaboration, and strong team connections.
- Work-from-anywhere opportunities for up to 4 weeks per year – as fresh perspectives spark bold ideas.
- 30 days of paid holiday to rest, recharge, and come back ready to create.
- A beautiful, centrally located, dog-friendly office with inspiring spaces, a sunny terrace, and good food—designed for moments that energise and connect.
- Exclusive discounts – 40% off the Westwing Collection, 20% off third-party brands (both on full-price items), and a 20% Family & Friends discount on the Westwing Collection, plus vouchers for special occasions.
- Wellbeing support through mental health resources, sports memberships, and preventive care.
- Sustainable mobility options with discounted public transport and JobRad—getting around with purpose and care for the planet.
- Support for working parents, including our on-site Westwing Wichtel daycare and a partnership with multilingual provider Elly & Stoffl.
- One annual Social Impact Day to give back to a cause you care about—because being human is our true superpower.
- Team rituals that celebrate results and togetherness—from Movie Nights and Oktoberfest to Summer and Winter Parties.
Benefits
Health, fitness & fun
Topics you will work on
Job locations
About your employer
At Westwing, we help you discover your own personal Home style.We have a wide selection of high-quality products that will give your home a fresh, new look. Whether you're looking for something modern or classic, we have something for everyone.
- English
- Established Company
- Onsite, Hybrid
- Trade · Internet, IT, Telecommunication
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