Job
- Level
- Senior
- Job Field
- BI, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 50.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will design and develop complex data models, implement historization strategies, and optimize data pipelines for CRM data. You will collaborate closely with cross-functional teams to connect data and business requirements.
Job Technologies
Your role in the team
- Design, develop, and maintain conceptual, logical, and physical data models tailored to business needs, with a strong focus on customer and CRM-related data.
- Implementieren Sie Historisierungstechniken wie Slowly Changing Dimensions (SCD-1, SCD-2 usw.), um eine genaue Nachverfolgung von Datenänderungen im Laufe der Zeit sicherzustellen.
- 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
- 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.
- High level of personal responsibility and ability to learn new technologies in a fast-paced environment.
- You have good communication and visualization skills.
Experience
- Strong experience in data modeling, including dimensional modeling, normalization/denormalization, and historization strategies.
- Experience working with large datasets and complex data ecosystems.
- Experience in the retail or CRM sector is a nice-to-have.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
- 🤫Relaxation Rooms
- 👨🏻🎓Mentor Program
- ⚽️Tabletop Soccer, etc.
- 👩⚕️Company Doctor
- 🎳Team Events
- 🧘♀️Massage, Yoga, etc.
- 🏋🏿♂️Fitness Offers
- 🙂Health Care Benefits
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🕺No Dresscode
- 🅿️Employee Parking Space
- 🙅♂️No All-In Contracts
- 🏠Home Office
- ⏰Flexible Working Hours
- 🍼Day Care for Kids
More net
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 👷♂️Additional Insurance
- 🎁Employee Gifts
- 🚙Company Car
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
REWE Group Österreich
Wien, Premstätten, Wiener Neudorf, Wien
The IT department of the REWE Group Austria is made up of over 500 talented employees who develop innovative IT products and services that provide the best shopping experience in markets like BILLA, BILLA PLUS, PENNY, BIPA and ADEG. With customers and partners in Austria, Italy and nine other European countries, we are constantly developing new solutions for retail that will revolutionize commerce. In cross-functional product teams, colleagues from fields like IT Consulting, Development/Programming ,IT Operations and Organizational Management work together to digitize trade.
Description
- Company Size
- 250+ Employees
- Founding year
- 1953
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(4 Reviews)Culture
3.6Workingconditions
3.8Career Growth
4.3Engineering
3.4
