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

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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.

About the Team  
The Product Creation & 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. 
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.

About your new role 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: 
Supporting the development and improvement of backend services and data workflows for automated catalogue expansion.

Working on product data quality — helping improve matching logic, data completeness and pipeline reliability.

Exploring how ML models and GenAI components (such as LLM-based matchers) can be integrated into production systems.

Contributing to tooling, observability and automation that makes the team more effective.

Participating in code reviews, pairing sessions and team rituals — learning how a production-grade engineering team operates.

Skills & Requirements Currently enrolled in a Master's programme in Computer Science, Data Science, Software Engineering or a related field — ideally in your first year.

Solid programming foundation, ideally in Java, Kotlin or Python.

Some experience with backend development, data pipelines or cloud services — through coursework, personal projects or a prior internship.

Curiosity about data-intensive systems, ML integration or AI-assisted development.

Good communication skills and comfortable working in English and German.

At idealo you can expect You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.

And what about the office? Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.

In need of additional support in any areas of your life? We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice .

You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!

Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.

And what else is there? Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!

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你是否正在攻读硕士一年级，并寻找一份学生兼职工作，能够为实际生产系统做出贡献，向经验丰富的工程师学习，并探索后端开发、数据工程和AI的交叉领域？那么，这可能是适合你的职位。

关于团队
ideal公司的产品创建与分配团队构建了我们产品目录自动扩展背后的系统。产品是用户在我们平台上看到的可比较实体——来自不同商店的报价被分组、丰富并使其可比较的页面。我们构建能够从各种数据源识别和创建新产品，并将 incoming 商店报价分配到正确的现有或新创建产品的系统。
我们使用现代化的云原生技术栈，结合基于JVM的后端服务和数据密集型AWS工作流：Java、Kotlin、Spring Boot、Kafka、MongoDB和EKS，以及使用MWAA、Lambda、Step Functions、DynamoDB、Glue Spark和S3的Python管道。我们将ML模型和GenAI组件集成到我们的生产系统中，并在日常开发工作流程中积极使用AI工具，如Claude Code。

关于你的新角色
作为学生兼职员工，你将与资深工程团队合作，为有意义的工作做出贡献。根据你的背景和兴趣，你的工作可能包括：
支持自动化目录扩展的后端服务和数据工作流的开发与改进。
处理产品数据质量——帮助改进匹配逻辑、数据完整性和管道可靠性。
探索如何将ML模型和GenAI组件（如基于LLM的匹配器）集成到生产系统中。
为提高团队效率的工具、可观测性和自动化做出贡献。
参与代码审查、结对编程和团队仪式——了解生产级工程团队如何运作。

技能与要求
目前就读于计算机科学、数据科学、软件工程或相关领域的硕士课程——理想情况下是在第一年。
扎实的编程基础，最好是Java、Kotlin或Python。
有后端开发、数据管道或云服务的经验——通过课程、个人项目或之前的实习。
对数据密集型系统、ML集成或AI辅助开发有好奇心。
良好的沟通能力，能够熟练使用英语和德语工作。

在ideal，你可以期待
你想继续深造吗？我们认真对待你的个人发展目标，除了ideal学习中心、电子学习课程（如Udemy）、指导和调解外，我们还为你提供从额外学习和开发预算中受益的机会。
办公室怎么样？我们位于柏林市中心的办公室提供免费的有机早餐、优质的免费午餐（素食和纯素食），以及免费的咖啡、柠檬水和下班后的啤酒，除了"标准桌球"外。它还有一个令人惊叹的屋顶露台，可以俯瞰整个柏林，你可以在那里与我们集团公司的同事建立联系。
在你生活的任何领域需要额外的支持吗？我们与pme-Familienservice合作，提供生活各方面的免费咨询和支持（职业、私人、家庭、健康等）。
你想在工作途中和之后获得完全的灵活性？工作自行车或德国票没问题——而且它也很环保！
想保持健康吗？我们提供许多不同的健身和运动选择，如Urban Sports或Gympass会员，以满足你的个人需求。
还有什么？当然，成功必须庆祝！除了团队活动，你还可以期待全年的大型公司活动以及其他与公司内部和你的团队成员建立联系的时刻！

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