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.
Job Description
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 optimise 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 modelling and engineering within the team
Support the data engineers during implementation
Qualifications
Strong experience in data modelling, including dimensional modelling, normalisation/denormalisation, and historisation 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
Good communication and visualisation skills
Additional Information
Flat hierarchies and short decision‑making channels
A family‑friendly company culture with flexible working hours and remote working options according to your individual needs
Numerous training and further development opportunities within the Group (5% of working time for self‑organised training and education)
A lunch allowance
Staff shopping and travel discounts
Extensive workplace wellness programme including fitness classes, massages, etc.
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. 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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