As the IT of the REWE International, we work together with our more than 700 employees to develop innovative IT products and services for all our corporate divisions in Austria and abroad, setting the tone for modern trade.

Join Us in Shaping the Future of Retail Data!

Are you passionate about transforming complex data into meaningful insights? Do you thrive at the intersection of data modeling and engineering? We're looking for a talented Data Modeler & Engineer to join our CRM Data team, part of the CRM Data & Insights Product Family, and help us build robust, scalable, and business-driven data solutions in the dynamic world of retail.

In this role, you'll play a key part in designing and maintaining data models that support customer-centric decision-making across the organization. While your primary focus will be on data modeling, we're also looking for someone with hands-on experience in data engineering - someone who can bring models to life through efficient data pipelines and modern architecture.

• Design, develop, and maintain conceptual, logical, and physical data models tailored to business needs, with a strong focus on customer and CRM-related data
• Implement historization techniques such as Slowly Changing Dimensions (SCD-1, SCD-2, etc.) to ensure accurate tracking of data changes over time
• Collaborate with cross-functional teams to translate business requirements into scalable and easy to maintain data structures
• Build and optimize data pipelines and transformation workflows to support data model implementation and data quality
• Ensure data consistency, lineage, and governance across systems and domains
• Continuously improve and refactor existing data models to align with evolving business needs and technical standards
• Contribute to the development of best practices and standards for data modeling and engineering within the team
• Support the data engineers during implementation

• Strong experience in data modeling, including dimensional modeling, normalization/denormalization, and historization strategies
• Solid understanding of data engineering principles and ability to implement data models in production environments
• Hands-on mindset with the ability to design, build, and troubleshoot data solutions end-to-end
• Experience working with large datasets and complex data ecosystems
• Familiarity with modern data platforms and tools (e.g., Snowflake, dbt, GCP, Airflow) is a plus, but not a requirement
• Strong analytical and problem-solving skills, with a keen eye for detail and data quality
• Excellent communication skills and the ability to work collaboratively in cross-functional teams
• Experience in the retail or crm sector is a nice-to-have
• High level of personal responsibility and ability to learn new technologies in a fast-paced environment
• You have good communication and visualization skills

• Flat hierarchies and short decision-making channels
• A family-friendly company culture with flexible working hours and remote working options available according to your individual needs
• Numerous training and further development opportunities within the Group (5% of working time for self-organized training and education)
• A lunch allowance
• Staff shopping and travel discounts
• Extensive workplace wellness programme including fitness classes, massages, etc.
• An industry-standard, attractive and performance based annual gross salary starting at 50.000 Euro (on a full-time basis) with the possibility of higher pay according to experience and qualifications

No matter where you are in your career, we have a path for you. Whether you're looking for your first job, advancement in your field, or a new career shift. We're proud to employ great people who are passionate about their jobs. But they're all different. No matter who you are, what you need and where you're going, REWE Group can be a part of it. Apply now!

Please upload your resume to give us insight of your work experience - anonymously if you like!

We promote a diverse and inclusive work environment. Therefore, we welcome applications from people of different gender, age, cultural or social background, sexual identity and applications from people with disabilities. In addition, we would like to increase the proportion of women in technical professions and are particularly pleased to receive applications from women for this position.

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