Data Engineer
公司概述 Holafly 是一个高增长规模的扩展，革命性的互联网连接方式。自2018年以来，我们已经为全球200多个目的地提供了安全和可靠的 eSIM 解决方案。与500+名专业人员组成的团队在多个国家，我们正在全球范围内扩大支持游客使用无无限数据连接。我们不仅将人们联系起来，我们还使人能够获得自由和心灵和平，确保我们的用户从他们登陆的那一刻就保持联系，无论他们的旅行带领他们到哪里。作为我们的数据工程师，你将构建和扩展高性能管道和数据服务，这些运用性数据将原始连接数据转化为可操作的智能。你的工作直接使我们的领导团队能够实时做出基于数据的决策，推动我们国际增长。关键责任 · 建立和扩展强大的 ETL/ELT 管道以集成各种数据来源到一个统一，高可用生态系统中。· 使用 FastAPI 开发和维护高性能 API,向内部服务和利益相关者展示数据见解。·通过 DBT 来进行数据变革，确保我们的仓库结构化，模块化并准备好用于高级分析。· 优化数据结构和方案，以确保分析和运营使用情况的闪电快速查询性能。· 自动验证和清理数据流程，以保证最高标准的数据完整性和安全性。·通过实施现代框架来推动技术创新，从而提高我们的处理能力和数据可靠性。资格 · 数据工程或高增长环境中的类似后端重角色的经验记录。· 高级 Python 的熟练知识，用 FastAPI 构建和部署特定 API. · DBT 的深入专业知识，侧重于建立可扩展和可维护的转型层。· 对于构建复杂数据软件和操纵大型数据集的 SQL 强大掌握。· 对现代数据建模和基于云的仓库架构 （GCP 和 BigQuery 优先）.好处有经验。· Google Dataflow 或 Apache Beam. · 数据工作流程基础设施背景 (IaC) 或 CI/CD. 福利与优惠：25天 PTO 5%养老金缴费；医疗/健康覆盖 3000欧元；自开发预算 500美元 原始发布在喜马拉雅山。
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Company Overview
Holafly is a high-growth scale-up revolutionising how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support travellers with seamless, unlimited data connectivity.
We’re not just connecting people—we’re enabling freedom and peace of mind, ensuring our users stay connected from the second they land, wherever their journey takes them.
The Role
As our Data Engineer, you will build and scale the high-performance pipelines and data services that turn raw connectivity data into actionable intelligence. Your work directly enables our leadership and product teams to make real-time, data-driven decisions that fuel our international growth.
Key Responsibilities
- Build and scale robust ETL/ELT pipelines to integrate diverse data sources into a unified, high-availability ecosystem.
- Develop and maintain high-performance APIs using FastAPI to expose data insights to internal services and stakeholders.
- Lead data transformations by using DBT to ensure our warehouse is structured, modular, and ready for high-level analysis.
- Optimise data structures and schemas to ensure lightning-fast query performance for analytical and operational use cases.
- Automate data validation and cleansing processes to guarantee the highest standards of data integrity and security.
- Drive technical innovation by implementing modern frameworks that enhance our processing capabilities and data reliability.
Qualifications
- Proven track record in Data Engineering or a similar back-end heavy role within high-growth environments.
- Advanced proficiency in Python, with specific experience building and deploying APIs using FastAPI.
- Deep expertise in DBT, with a focus on building scalable and maintainable transformation layers.
- Strong mastery of SQL for building complex data software and manipulating large datasets.
- Solid understanding of modern data modelling and cloud-based warehousing architecture (GCP and BigQuery preferred).
Nice to Have
- Experience with Google Dataflow or Apache Beam.
- Background in Infrastructure as Code (IaC) or CI/CD for data workflows.
Benefits & Perks
- 25 Days of PTO
- 5% pension contribution
- € 3000 for Medical/Health coverage
- Self development budget of $ 500
Originally posted on Himalayas