Working Student Data Engineer – Python, SQL & Cloud Platforms

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About AgentixLake
AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities.
Your role
Build the pipelines and data models that people can depend on. You will own defined components of our data engineering projects, from understanding a source system to delivering tested transformations and monitoring how they run.
Our data platform engineering work connects operational systems with analytics and AI applications. Depending on the project, you will work with cloud warehouses, lakehouse architectures and the data quality and reliability practices that support production use.
What you will do
Build Python and SQL pipelines to ingest and transform data from APIs, databases, files or event sources.
Develop data models and dbt transformations with clear definitions, tests and documentation.
Implement incremental processing, schema checks and reconciliation so changes and data issues are visible.
Configure orchestration and monitoring; investigate failed runs and improve recovery and troubleshooting.
Contribute to cloud data platform components, infrastructure configuration and deployment workflows.
Use Git, pull requests and code review to deliver maintainable changes and explain their impact on downstream users.
What you bring
Current university enrolment in computer science, data science, business informatics or a related technical discipline.
Strong SQL and practical Python, supported by pipelines or data models you have built and maintained for actual users or team workflows.
A sound understanding of data modelling, incremental loads, data quality and the operational behaviour of scheduled pipelines.
Experience with version control and testing, plus practical exposure to a cloud platform, warehouse or orchestration tool.
The ability to own a well-scoped deliverable, investigate problems systematically and communicate clearly in English.
Experience with dbt, Airflow, Dagster, AWS, Snowflake, Databricks, BigQuery, Apache Iceberg or Terraform is valuable. You do not need experience with every technology; show us where you have developed depth.
What you can expect
You will work on data systems with clear users and delivery requirements, collaborate directly with experienced engineers and the founders, and receive substantive code review. Your part-time responsibilities and schedule will be planned around your studies.
How to apply
Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Describe one pipeline or data model you delivered, the decisions you owned and how you tested or improved its reliability. An anonymised example is welcome; please do not share confidential client material.
We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you.
Stay connected
Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions.
LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/
Website: https://agentixlake.com/
Explore our AWS data and AI platform work: https://agentixlake.com/platform-aws
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重要申请说明：请仅通过此招聘门户申请。请勿通过电子邮件或LinkedIn发送申请或招聘信息。只有通过门户提交的申请将被考虑。谢谢。

关于AgentixLake
AgentixLake GmbH是一家位于德国汉堡的数据与AI工程咨询公司。我们在客户的云账户或本地环境中设计和运营生产级数据平台和AI系统。我们是AWS服务合作伙伴，也是Anthropic的Claude合作伙伴网络认证服务合作伙伴。我们的商业重点在DACH（德国、奥地利、瑞士）和海湾地区，同时也会关注精选的国际机会。

您的角色
构建人们可以依赖的数据管道和数据模型。您将负责我们数据工程项目的特定组件，从理解源系统到交付经过测试的转换，再到监控它们的运行情况。

我们的数据平台工程工作将运营系统与分析和AI应用程序连接起来。根据项目不同，您将使用云仓库、湖仓架构以及支持生产使用的质量和可靠性实践。

您将做什么
- 构建Python和SQL管道，从API、数据库、文件或事件源摄取和转换数据。
- 开发具有明确定义、测试和文档的数据模型和dbt转换。
- 实现增量处理、模式检查和对账，以便变更和数据问题可见。
- 配置编排和监控；调查失败的运行并改进恢复和故障排除。
- 为云数据平台组件、基础设施配置和部署流程做出贡献。
- 使用Git、拉取请求和代码审查提供可维护的变更，并向下游用户解释其影响。

您需要具备
- 计算机科学、数据科学、商业信息学或相关技术专业的在读大学生身份。
- 熟练的SQL和实用的Python技能，有您为实际用户或团队工作流程构建和维护的管道或数据模型作为支持。
- 对数据建模、增量加载、数据质量和计划管道的运行行为有扎实理解。
- 具有版本控制和测试经验，并且对云平台、仓库或编排工具有实际接触。
- 能够负责范围明确的交付物，系统性地调查问题，并用英语清晰地沟通。
- 拥有dbt、Airflow、Dagster、AWS、Snowflake、Databricks、BigQuery、Apache Iceberg或Terraform经验者优先。您不需要具备所有技术的经验；向我们展示您的专长所在。

您可以期待
- 您将工作于有明确用户和交付要求的数据系统中，直接与经验丰富的工程师和创始人合作，并获得实质性的代码审查。您的兼职职责和时间安排将围绕您的学习进行规划。

如何申请
使用本页面的"申请"按钮提交您的简历、当前学习详情、位置和每周可用时间。描述您交付的一个管道或数据模型，您拥有的决策以及您如何测试或改进其可靠性。欢迎提供匿名示例；请不要分享机密客户材料。

我们欢迎所有背景的申请者。如果核心职责与您的经验相符，我们希望收到您的申请。

保持联系
在LinkedIn上关注AgentixLake，获取实用的工程洞察、项目更新和未来机会。关注是可选的，不会影响招聘决定。

LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/
网站: https://agentixlake.com/
探索我们在AWS的数据和AI平台工作: https://agentixlake.com/platform-aws
在Arbeitnow上寻找德国的工作机会

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