Working Student - Backend Development Product Creation & Assignment (m|w|d)

<p class="Paragraph SCXW7827552 BCX0">Are you in your first year of your Master's degree and looking for a working student role where you can contribute to real production systems, learn from experienced engineers, and explore the intersection of backend development, data engineering and AI? Then this could be the right role for you.&nbsp;</p><p style="min-height: 1.7em;"></p><p class="Paragraph SCXW7827552 BCX0"><strong><span style="color:#4F81BD">About the Team</span></strong><span style="color:#4F81BD">&nbsp;</span></p><p class="Paragraph SCXW7827552 BCX0">The Product Creation &amp; Assignment team at idealo builds the systems behind the automated expansion of our product catalogue. Products are the comparable entities users see on our platform — pages where offers from different shops are grouped, enriched and made comparable. We build the systems that identify and create new products from various data sources, and assign incoming shop offers to the right existing or newly created products.&nbsp;</p><p class="Paragraph SCXW7827552 BCX0">We work on a modern, cloud-native stack combining JVM-based backend services with data-intensive AWS workflows: Java, Kotlin, Spring Boot, Kafka, MongoDB and EKS, as well as Python-based pipelines using MWAA, Lambda, Step Functions, DynamoDB, Glue Spark and S3. We integrate ML models and GenAI components into our production systems and actively use AI tools such as Claude Code in our daily development workflow.&nbsp;</p><p style="min-height: 1.7em;"></p><h3>About your new role</h3><p class="Paragraph SCXW51800034 BCX0">As a working student, you will contribute to meaningful work alongside a senior engineering team. Depending on your background and interests, your work may include:&nbsp;</p><ul class="BulletListStyle1 SCXW51800034 BCX0"><li><p class="Paragraph SCXW51800034 BCX0">Supporting the development and improvement of backend services and data workflows for automated catalogue expansion.&nbsp;</p></li></ul><ul class="BulletListStyle1 SCXW51800034 BCX0"><li><p class="Paragraph SCXW51800034 BCX0">Working on product data quality — helping improve matching logic, data completeness and pipeline reliability.&nbsp;</p></li></ul><ul class="BulletListStyle1 SCXW51800034 BCX0"><li><p class="Paragraph SCXW51800034 BCX0">Exploring how ML models and GenAI components (such as LLM-based matchers) can be integrated into production systems.&nbsp;</p></li></ul><ul class="BulletListStyle1 SCXW51800034 BCX0"><li><p class="Paragraph SCXW51800034 BCX0">Contributing to tooling, observability and automation that makes the team more effective.&nbsp;</p></li></ul><ul class="BulletListStyle1 SCXW51800034 BCX0"><li><p class="Paragraph SCXW51800034 BCX0">Participating in code reviews, pairing sessions and team rituals — learning how a production-grade engineering team operates.&nbsp;</p></li></ul><p style="min-height: 1.7em;"></p> <br> <h3 style="text-align:start;"><strong>Skills &amp; Requirements</strong></h3><ul class="BulletListStyle1 SCXW28805787 BCX0"><li><p class="Paragraph SCXW28805787 BCX0">Currently enrolled in a Master's programme in Computer Science, Data Science, Software Engineering or a related field — ideally in your first year.&nbsp;</p></li></ul><ul class="BulletListStyle1 SCXW28805787 BCX0"><li><p class="Pa