数据工程师
Data Engineer
## **你的使命**
你是否是一位热衷于构建可扩展、可靠数据平台的数据工程师？你是否希望设计优雅的管道和数据系统，以支持现实世界的决策？
**我们期待与你见面。**
我们积极鼓励非男性和其他代表性不足群体的申请。
**正式职位 — 不招外包人员**
## **Hivemind 做什么**
#### 我们在实际约束下构建和运营生产系统——可靠性、安全性和持续性至关重要。
**我们的重点：**
* 数据工程 — 实时数据平台和管道
* AI 系统 — 生产级智能系统
* 云原生平台 — 可扩展、可靠的基础设施
* 安全基础设施 — 设计时即考虑安全性和弹性
## **你的背景**
**你将做什么**
* 设计和构建分布式数据系统
* 编写同行称赞其优雅和可读性的代码
* 创建和改进符合客户需求的基础设施和流程
* 全局思考：持续评估我们的工作和内部流程
**你具备**
* 至少一个大数据处理框架的深入知识（最好是 Spark）
* 了解 ETL 原则
* 具备 SQL 和数据湖架构的概念
* 熟悉 Medaillon 架构概念
* 具备 Kafka 或类似流架构的经验
* 具备 Open Table 格式如 Delta、Iceberg 或 Paimon 的经验
* 具备使用 Flink 或 Spark 进行数据处理的经验
* 具备以下至少一种语言的经验：Scala 或 Python
* 具备云计算和无服务器范式的经验
* 具备构建数据处理管道和复杂工作流的经验
* 具备机器学习、生成式 AI 和 MLOps 的经验
* 了解类 Unix 操作系统
* 了解软件设计、架构和网络服务的最新趋势
**你如何工作**
* 系统思维者，清晰的沟通者
* 喜欢在小型且动态的团队中工作
* 低姿态，具有协作心态
* 英语流利
* 位于欧盟/EEA/英国（±3 小时 CET）
* 重视善良、尊重和工作与生活的平衡
#### **为什么选择我们？**
Hivemind 是一家完全独立的公司，由其董事拥有。我们没有外部投资者，这意味着我们不会受到外部压力影响我们的工作方式、合作对象或优先事项。你将在小型跨职能团队中参与真正的生产系统——没有孤岛，没有无尽的维护。
**我们的工程文化：**
* 持续重构与快速反馈
* 函数式编程 &
查看英文原文
## **Your Mission**
Are you a Data Engineer who thrives on building scalable, reliable data platforms? Do you want to design elegant pipelines and data systems that power real-world decisions?
**We’d love to meet you.**
We actively encourage applications from non-males and other underrepresented groups.
**Permanent position — no contractors**
## **What Hivemind Does**
#### We build and operate production systems under real constraints—where reliability, security, and continuity matter.
**Our Focus:**
* Data Engineering — real-time data platforms & pipelines
* AI Systems — production-grade intelligent systems
* Cloud Native Platforms — scalable, reliable infrastructure
* Secure Infrastructure — security and resilience by design
## **Your Profile**
**What you'll do**
* Designing and building distributed data systems
* Writing code that your peers praise for its elegance and readability
* Creating and improving infrastructure and processes that fit our clients needs
* Thinking holistically: Constantly evaluating our work and internal processes
**You bring**
* In-depth knowledge of at least one big data processing framework (preferably Spark)
* Knowledge of ETL principles
* Experience with SQL and concepts of Data Lake Houses
* Familiar with Medaillon Architecture concepts
* Experience with Kafka or similar streaming architectures
* Experience with Open Table formats such as Delta, Iceberg or Paimon
* Experience with Data Processing with Flink or Spark
* Experience with at least one of the following: Scala or Python
* Experience with cloud computing and serverless paradigms
* Experience with building data processing pipelines and complex workflows
* Experience with ML, generative AI and MLOps
* Knowledge of Unix-like operating systems
* Have knowledge of current trends in software design, architecture and web services
**How you work**
* Systems thinker, clear communicator
* Like to work in a small and dynamic team
* Low-ego, collaborative mindset
* Fluent in English
* Based in EU/EEA/U.K. (±3h CET)
* You value kindness, respect, and work-life balance
#### **WHY US?**
Hivemind is fully independent and owned by its directors. We have no external investors, which means no outside pressure on how we work, who we work with, or what we prioritize. You’ll work in small, cross-functional teams on real production systems—no silos, no endless maintenance.
**Our engineering culture:**
* Continuous refactoring & fast feedback
* Functional Programming & XP practices
* Strong DevOps ownership
**Autonomy included:**
* No forced project assignments
* No fixed tech stack
* Freedom to choose better solutions
## **BENEFITS**
* 100% remote work.
* Flexible working hours (30–38h, 4-day possible)
* Freedom to adjust working days and hours whenever life changes
* 30 days vacation + Christmas break
* No overtime
**Compensation**
* Salary (38h):
* Mid: €75,228.28
* Senior: €85,257.86
* Equal pay (no negotiation, no bonuses)
* Yearly salary increases (≥ inflation)
* Clear promotion criteria & career paths
* Part-time adjusted proportionally
**Well-being & Support**
* Compassionate leave
* Parental- and family-friendly environment
* Work that genuinely fits around your life
**Growth & Development**
* Paid learning & conferences
* Mentoring & feedback culture
* Internal knowledge sharing
* Time to explore new topics
**Other**
* Choice of equipment (Mac/Linux)
* Co-working budget (e.g. WeWork)
* Cross-functional teams
* Annual onsite in Berlin
🚫 No racism, sexism, or discrimination
🤝 Psychological safety and respect are non-negotiable
## **INTERVIEW PROCESS**
1. Intro interview (alignment & expectations)
2. Take-home challenge (\~2 weeks, flexible)
3. Technical discussion (collaborative, no grilling)
4. Final level (mid/senior) is determined collaboratively based on your experience, challenge, and technical discussion.
**Interested?**
Send your resume to [jobs@hivemindtechnologies.com](mailto:jobs@hivemindtechnologies.com)