Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 50.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
AI Summary
In this role, you will develop ETL pipelines to integrate diverse data sources into a centralized data warehouse, design machine learning models, and automate workflows using modern CI/CD principles.
Job Technologies
Your role in the team
- Designing Scalable Data Infrastructure: You will develop robust ETL pipelines to integrate diverse data sources - from eCommerce and logistics to CRM systems - into our centralized data warehouse.
- Turning Data into Intelligence: You will design and operationalize machine learning solutions such as recommender systems, forecasting models, or generative AI applications (e.g., LLMs) to enable data-driven decision-making.
- Ensuring Data Quality: You'll take responsibility for maintaining high data quality, consistency, and availability to support reliable analytics and AI solutions.
- Automating Data Workflows: You'll automate data processes using modern CI/CD principles and help build a scalable and maintainable data infrastructure.
- Collaborative Mindset: You'll work closely with data scientists, software engineers, and business stakeholders, contributing your technical expertise to drive innovation and value through data.
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Our expectations of you
Qualifications
- Strong Data Understanding: You're well-versed in data modeling and integration, with the ability to design and manage complex data flows.
- Structured and Independent Work Style: You work in a self-directed, structured manner and take ownership of your projects - even in fast-paced environments.
- Curiosity & Drive: You have a strong willingness to learn new technologies and continuously improve existing processes.
- Communication Skills: You are fluent in English and comfortable working in an international team setting.
- DevOps & Agile Practices: You are familiar with CI/CD pipelines, DevOps practices, and agile development methodologies, and know how to apply them effectively in data-driven projects.
Experience
- Proven Expertise: You bring several years of hands-on experience in data science, machine learning, and/or AI engineering.
- Technical Proficiency: You have excellent command of SQL, Python, and dbt, and solid experience with modern data architectures and ETL frameworks.
- Machine Learning Experience in Practice: You have extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn - from model development to production deployment.
- Cloud & Infrastructure Know-how: You have experience working with cloud platforms - ideally Google Cloud - and understand Infrastructure-as-Code concepts (e.g., Terraform).
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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
Location Vienna
Austria
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
Data Science Engineer
- Salary
- from 50.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
