平台数据库工程师 NoSQL / 图数据库
Platform Database Engineer NoSQL / Graph Databases
- 作为核心平台的一部分,设计、实现和运营NoSQL和图数据库解决方案。
- 对复杂且高度关联的领域中的图数据模型和查询模式承担技术责任。
- 规划并执行从关系型或基于文件的数据存储到NoSQL或图数据库的迁移。
- 与后端工程团队紧密合作,将数据库解决方案集成到现有和新的后端服务中。
- 评估并选择适合不同产品和平台使用场景的NoSQL和图数据库技术。
- 确保生产环境中数据库解决方案的性能、可扩展性、可靠性和可维护性。
- 参与平台架构决策、技术标准和最佳实践的制定。
- 通过评审、指导和实际合作,支持并赋能产品团队。
- 精通NoSQL和/或图数据库,如Neo4j、Amazon Neptune、MongoDB或类似技术。
- 对图数据库和非关系型数据存储的数据建模有扎实的理解。
- 有规划和执行数据库迁移项目的经验。
- 对后端软件架构和数据访问模式有良好的理解。
- 有在云环境中操作数据库的实际经验,优先考虑AWS。
- 能够与分布式工程团队紧密合作,并将需求转化为稳健的数据解决方案。
- 能够与德国(CET/CEST时区)有显著重叠的工作时间配合。
- 需要流利的英语;具备德语能力(口语和书面)是加分项。
加分项
· 有关系型数据库和混合数据架构的经验。
- 了解图工作负载的性能调优和优化。
- 熟悉基础设施即代码、CI/CD流水线和DevOps实践。
- 有数据库系统可观测性和监控方面的经验。
- 接触过后端技术如Node.js、.NET或类似生态及其对应的后端开发编程语言。
我们看重的特质
· 具有强烈的责任意识和对平台组件的主人翁精神。
- 实用主义的问题解决者,注重可持续的解决方案。
- 能够在不同团队之间清晰地传达复杂的概念。
- 对平台工程感兴趣,并乐于帮助其他团队取得成功。
- 好奇心强,愿意持续学习和提升自己。
- 具有竞争力的薪资待遇
- 个性化福利
查看英文原文
- Design, implement, and operate NoSQL and graph database solutions as part of the central platform.
- Take technical ownership of graph data models and query patterns for complex, highly connected domains.
- Plan and execute migrations from relational or file-based data storage to NoSQL or graph databases.
- Collaborate closely with backend engineering teams to integrate database solutions into existing and new backend services.
- Evaluate and select appropriate NoSQL and graph database technologies for different product and platform use cases.
- Ensure performance, scalability, reliability, and maintainability of database solutions in production.
- Contribute to platform architecture decisions, technical standards, and best practices.
- Support and enable product teams through reviews, guidance, and hands-on collaboration.
- Strong hands-on experience with NoSQL and or graph databases such as Neo4j, Amazon Neptune, MongoDB, or comparable technologies.
- Solid understanding of data modeling for graph and non-relational data stores.
- Experience in planning and executing database migration projects.
- Good understanding of backend software architectures and data access patterns.
- Hands-on experience operating databases in cloud environments, preferably on AWS.
- Ability to work closely with distributed engineering teams and translate requirements into robust data solutions.
- Availability to work with significant overlap to business hours in Germany (CET/CEST).
- Fluent English skills are required; German language skills (spoken and written) are an advantage.
Nice To Have
· Experience with relational databases and hybrid data architectures.
- Knowledge of performance tuning and optimization for graph workloads.
- Familiarity with Infrastructure as Code, CI/CD pipelines, and DevOps practices.
- Experience with observability and monitoring of database systems.
- Exposure to backend technologies such as Node.js, .NET, or similar ecosystems and corresponding programming languages used in backend development.
Traits We Value
· Strong ownership mindset and responsibility for platform components.
- Pragmatic problem-solver with a focus on sustainable solutions.
- Ability to communicate complex technical concepts clearly across teams.
- Interest in platform engineering and enabling other teams to succeed.
- Curiosity and willingness to continuously learn and improve.
- A competitive salary package
- Individual training and development opportunities
- Flexibility in balancing office hours and remote work
- Wellpass, JobRad, and much more..
SYSTABUILD is building a shared cloud and platform foundation for a group of leading software companies in the construction, CAD and ERP domain.
As a Platform Database Engineer focusing on NoSQL and Graph Databases, you will play a key role in evolving our data platform capabilities beyond traditional relational models. You will work closely with backend and product teams to design, migrate, and operate scalable NoSQL and graph-based data solutions that support complex domain relationships and high-performance workloads.
You will be part of the Platform Engineering Team, developing backend-focused platform services and enabling multiple product teams across the group.
Originally posted on Himalayas