Data Science Engineer | eCommerce (m/f/x)

We are REWE International IT – the tech heart of the REWE Group in Austria. With over 700 IT experts, we develop smart solutions for the retail of tomorrow. Whether in-store, in the warehouse, or in eCommerce – our systems ensure that everything runs smoothly. 

In the eCommerce Data Intelligence Team, we work on data-driven solutions that create real added value for our customers and colleagues – from complex data streams to recommendation engines and LLM integrations. 

Are you passionate about actively shaping this eCommerce world and do you bring a strong affinity for data and modern data technologies? Do you also believe that data is the raw material that drives innovation? Then you've come to the right place! 

• 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.

• 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.
• Strong Data Understanding: You’re well-versed in data modeling and integration, with the ability to design and manage complex data flows.
• 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.
• 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.
• Cloud & Infrastructure Know-how: You have experience working with cloud platforms – ideally Google Cloud – and understand Infrastructure-as-Code concepts (e.g., Terraform).
• 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.

• 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!

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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.