Germany
HENSOLDT
REWE Group
Expert, Article Master Data / Master Data Management (m/f/d)
Germany
Cologne, North Rhine-Westphalia, Germany
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About the opportunity
Location: 50933 Cologne |
Contract type: Full-time, fixed-term |
Job ID: 961989
You can find more information at jobs.rewe-group.com jobs.rewe-group.com/.
Do you still have questions about your online application or our application process? Then take a look at our FAQ jobs.rewe-group.com/faq.
We explicitly emphasize that all people—regardless of gender/gender identity, ethnic origin and nationality, social background, religion/worldview, physical and mental abilities, age, as well as sexual orientation or other individual characteristics—are equally welcome here.
What we are planning together
Together, we are shaping the digital purchasing processes of one of the leading European retail companies. The Goods, Organization & Processes division advises, accompanies, and supports central purchasing and category management regarding organization and process design, defining the technical requirements for the IT systems managed.
Article master data is a central success factor along the entire value chain.
As a Process Expert Master Data Management, you will shape the further development and harmonization of master data processes with a focus on the integration of external data standards such as GDSN. In a group-wide transformation program, you will actively drive the modernization of systems, processes, and data.
What you will achieve with us
- You will strategically shape the use of GDSN and external data standards: Develop approaches for how external master data (e.g., via GDSN) can create real added value and integrate them into scalable processes and a future-proof data landscape.
- You will represent the company in international GS1 committees: With a clear focus on business benefits, you will contribute requirements, actively help shape standards, and translate developments into concrete solutions at an early stage.
- You will translate external requirements into actionable solutions: You will transform regulations and data standards in a structured, tangible, and implementable way into clear, practical requirements for data models, processes, and systems.
- You will manage collaboration with external data partners: Ensure clear structures, efficient coordination, and stable, scalable data synchronization with data pools and partners.
- You will connect business needs with a consistent data target vision: Together with the specialist departments, you will pinpoint requirements, prioritize them sensibly, and develop a viable target vision for master data and its usage.
- You will develop future-proof data models and processes: Bring structure to complexity, design modern solutions, and actively drive central initiatives in article master data management.
- You will increase data quality and efficiency: With a clear eye for potential, you will use automation and AI in a targeted manner to simplify processes, increase quality, and enable scalability.
What convinces us
- First and foremost, your personality: Your open, persuasive manner, your team spirit, and your pronounced curiosity for data-driven relationships help you to quickly penetrate complex topics and drive them forward in a goal-oriented manner.
- You analyze demanding issues independently, structure them clearly, and derive well-founded, actionable measures. You set priorities confidently and succeed in preparing results in a way that is appropriate for different stakeholder levels.
- You recognize connections quickly and translate requirements into viable concepts, processes, and data models with a view to feasibility and scalability.
- You have several years of practical experience in developing technical concepts, data models, or end-to-end processes, ideally in the context of master data or comparable data structures.
- You bring practical experience with data standards, GDSN processes, or collaboration with external data partners and are able to translate these into concrete requirements.
- You move confidently in exchanges with specialist departments, IT, and external partners, bring different perspectives together, and drive topics forward in a structured manner.
- A completed degree (business, IT, or comparable) or vocational training as well as several years of experience in a project or process environment. Ideally, you have already worked in transformation-related contexts (e.g., system, process, or data initiatives).
- Very good German and English language skills.
What we offer
The REWE Group, as one of the largest retail and tourism groups in Europe, offers unique conditions for everyone who wants to make a difference. Discover a down-to-earth employer that places trust in you, enables creative freedom, and promotes innovation and fresh ideas through flexible structures. Those who work with us and achieve a lot can also expect a lot:
- Attractive compensation: With special benefits such as vacation and Christmas bonuses, capital-forming benefits, company pension schemes, subsidies for the canteen and discounted Deutschlandticket, as well as advantages for bicycle leasing.
- Employee discounts: At REWE, PENNY, toom Baumarkt, and DER Touristik.
- Work-life balance: With flexible working hours without core times, home office, time-out models, company kindergartens, modern parent-child offices, and support in finding childcare and care services.
- Personal development: With comprehensive seminar offerings, subject-specific academies, tech talks, e-learnings, and participation in conferences and hackathons.
- Health management: With preventive medical check-ups, sports, health, and cooking courses.
- Creative freedom: Participation in the selection of algorithms, analysis techniques, and technologies, and independent work on exciting issues from various company areas (supply chain, logistics, marketing, customer service).
- Agile environment: Collaboration with agile developer teams in a big data context.
- Connected: Company-wide networks of the REWE Group, such as our LGBTIQ network "DITO – different together" and the women's network "f.ernetzt" for exchange regarding career and personal development.
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