[GOA] 高级数据工程师（Databricks，Python，AI）
[GOA] Senior Data Engineer (Databricks, Python, AI)
Software Mind 为全球的公司提供具有影响力的技术解决方案。科技巨头和独角兽企业、变革性项目、新兴技术以及无限的机会——这些是我们的日常写照。我们组建跨职能的工程团队，他们拥有主人翁意识并追求卓越，因此我们一直在寻找那些在每个项目中都充满激情和创造力的优秀人才。我们的文化倡导开放、尊重、坚韧与勇气，并将工作与乐趣结合在一起。
项目 – 你将参与的内容
加入一个前瞻性的技术团队，构建下一代智能层——一个受控的、由人工智能驱动的分析平台，为客户提供和内部用户实时可信的答案。你将在协作的工程团队中使用前沿的 Databricks 技术栈，为直接影响 AI 如何与关键业务数据交互的系统做出贡献。
职位 – 你将如何贡献
· 在 Databricks Unity Catalog 中设计、构建和维护数据管道和整理好的数据集
· 开发并记录定义核心业务指标（排班、准时率、预订、定价）的 Metric Views，以确保平台的一致性
· 配置和调优特定领域的 Genie Agents 用于对话式分析
· 参与多代理编排架构的开发，包括 Supervisor Agent 层
· 实现 MLflow 跟踪和评估，以监控代理质量并管理版本控制
· 支持通过 MCP Server 将智能层与外部 AI 工具集成
· 与数据和产品团队合作，将业务问题转化为受控、可重用的数据定义
期望 – 你需要具备的经验
· 具有 Databricks 的实际操作经验（必须）
· 至少 4 年相关数据工程或分析工程经验
· 精通数据建模、Delta Tables、Metric Views 和 Genie Agents
· 精通 SQL 和 Python
· 具备使用代理式 AI 方法和模式构建解决方案的经验
· 熟悉 Unity Catalog 或类似的数仓治理和血缘框架
· 有交付可靠、生产级数据管道和分析系统的记录
附加技能 – 你的优势
· 具有使用 MLflow 进行实验跟踪、模型/代理评估或可观测性的经验
· 了解企业数据环境中的多代理编排模式
查看英文原文
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Project – the aim you’ll have
Join a forward-thinking technology team building a next-generation Intelligence Layer - a governed, AI-powered analytics platform that delivers trusted, real-time answers to questions for both customers and internal users. You'll work on a cutting-edge Databricks stack within a collaborative engineering team, contributing to a system that directly shapes how AI interfaces with business-critical data.
Position – how you’ll contribute
· Design, build, and maintain data pipelines and curated datasets within Databricks Unity Catalog
· Develop and document Metric Views defining core business metrics (schedules, on-time performance, bookings, pricing) to ensure consistency across the platform
· Configure and tune domain-specific Genie Agents for conversational analytics
· Contribute to the multi-agent orchestration architecture, including the Supervisor Agent layer
· Implement MLflow tracing and evaluation to monitor agent quality and manage versioning
· Support the integration of the intelligence layer with external AI tools via the MCP Server
· Collaborate with data and product teams to translate business questions into governed, reusable data definitions
Expectations – the experience you need
· Proven hands-on experience with Databricks (non-negotiable)
· Minimum 4 years of relevant data engineering or analytics engineering experience
· Strong knowledge of data modelling, Delta Tables, Metric Views, and Genie Agents
· Excellent skills in SQL and Python
· Experience building solutions using agentic AI methods and patterns
· Familiarity with Unity Catalog or similar data governance and lineage frameworks
· Track record of delivering reliable, production-grade data pipelines and analytical systems
Additional skills – the edge you have
· Experience with MLflow for experiment tracking, model/agent evaluation, or observability
· Knowledge of multi-agent orchestration patterns in enterprise data environments
· Familiarity with Model Context Protocol (MCP) or exposing AI capabilities via APIs
· Background in the aviation or travel industry and understanding of flight data concepts
Our offer – professional development, personal growth:
· Professional development, personal growth
· Flexible employment and hybrid work
· Non-corporate atmosphere
· Lunch tickets
· Private healthcare and insurance
· Multisport card
· Well-being initiatives
· Travel programs
· More intriguing benefits will be revealed during our interviews
Position at: Software Mind Poland