资深工程师 — 数据平台
Staff Engineer — Data Platform
欧洲 · 远程办公 · 全职 · 高级个人贡献者 · +8年经验
关于我们
在Yuno，我们正在构建支付基础设施，使所有公司都能参与全球市场。由支付和科技行业的资深专家创立——包括Rappi团队，这是拉丁美洲最具雄心的科技公司之一——我们的技术提供领先的支付能力，使公司能够自信地与客户互动，并通过无缝集成维持全球运营。
我们赋能InDrive、麦当劳、Rappi和Viva Aerobus等品牌的高效团队，通过单一API连接全球300多种支付方式。通过利用先进的AI和最新技术，我们在80多个国家实现智能路由和欺诈预防。
职位介绍
我们正在打造一个高效的数据团队，以速度和热情工作！
Yuno为无法承受支付失败的公司跨境转移资金。我们的数据平台使这一切变得可见——对产品团队、客户以及我们自己。
如果你是一位充满激情和动力的高级工程师，喜欢解决复杂的数据问题并从头到尾推动工程标准和项目，那么我们正在寻找你。
你将在推动Yuno及其支付平台的数据团队中发挥关键作用，同时协助共同设计和实现一种架构，使整个组织能够在可靠、快速且值得信赖的数据上运行。
你的贡献将包括
技术栈现代化：StarRocks作为主要分析层，Flink用于处理，DBT用于转换，Airflow用于编排，以及各种工具用于呈现洞察。
让它超级可靠的工作仍在前方——而这正是这个职位存在的原因。
技术领导力
- 在数据平台上定义架构，从结构到交付项目和计划端到端。
- 成为数据团队的技术参考点，设定质量标准、测试、可观测性、数据建模和文档。
- 领导设计和实现可扩展、低延迟的数据管道，实时处理高流量的支付交易。
- 推动以AI为核心的工程文化，建立AI辅助开发的标准、自动化数据质量测试和LLM驱动的数据流程。
动手工程
- 设计和构建处理大量数据的数据管道
查看英文原文
Europe · Remote · Full Time · Staff-Level Individual Contributor · +8 Years of Experience
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries — including the team behind Rappi, one of Latin America's most ambitious tech companies — our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations.
We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to connect to 300+ payment methods worldwide via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role
We are orchestrating a high-performing data team that works with pace and enthusiasm!
Yuno moves money across borders for companies that can't afford for payments to fail. Our data platform is what makes that visible — to our product teams, our clients, and ourselves.
If you are a Staff Engineer with passion and drive who enjoys solving complex data problems and driving engineering standards and initiatives end-to-end, then we are looking for you.
You will play a pivotal role within the Data team that powers Yuno and its payment platform, while helping co-design and implement an architecture that enables the entire organization to operate on reliable, fast, and trustworthy data.
Your Contribution Will Be
The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights.
The hard work of making it super reliable is still in front of us — and that's exactly why this role exists.
Technical Leadership
- Define architecture within the data platform, structure and deliver projects and initiatives end-to-end.
- Act as a technical reference point for the Data team, setting quality standards, testing, observability, data modeling, and documentation.
- Lead the design and implementation of scalable, low-latency data pipelines that process high-volume payment transactions in real time.
- Champion an AI-first engineering culture, establishing standards for AI-assisted development, automated data quality testing, and LLM-powered data workflows.
Hands-On Engineering
- Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast.
- Design scalable data models that support business-critical use cases: fraud detection, revenue analytics, payment success rate optimization, regulatory reporting.
- Own platform reliability — SLAs, data quality, alerting, and incident response for data services.
- Ensure secure data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks relevant to the payments industry.
Cross-Functional Impact
- Partner with Product, AI, and Finance teams to translate business needs into scalable data solutions.
- Contribute to the roadmap of the data platform and proactively identify opportunities to unlock new business value through data.
- Mentor senior and mid-level engineers, raising the technical bar across the team through code reviews, design reviews, and knowledge-sharing sessions.
- Collaborate with Data Consumers (analysts, data scientists, product managers) to ensure data products are reliable, well-documented, and fit for purpose.
Skills You Need
Minimum Qualifications
- 8+ years of experience in data engineering, software engineering, or a related field, with at least 2 years operating at a staff or principal level.
- Deep expertise in designing and building large-scale data platforms — streaming, batch, or hybrid architectures.
- Hands-on experience with Spark, Flink, Kafka, StarRocks, or equivalent.
- Strong Python and SQL skills; comfort working across multiple languages and paradigms.
- Solid understanding of data modeling techniques: dimensional modeling, Data Vault, or lakehouse patterns.
- Experience with cloud data infrastructure (AWS, GCP, or Azure), including managed services for storage, compute, and orchestration.
- Strong grasp of data quality, observability, and governance principles.
- Proven ability to set standards and lead technical initiatives across multiple teams without direct authority.
- Professional proficiency in English — written and spoken.
Preferred Qualifications
- Experience in the payments or fintech industry.
- Familiarity with dbt, Great Expectations, or similar.
- Experience with event-driven services and data mesh approaches.
- Exposure to ML platform design or feature store infrastructure.
What We Offer at Yuno
- Competitive Compensation.
- Remote Work – You can work from everywhere!
- Home Office Bonus – A one-time allowance to help you create your ideal home office.
- Work Equipment.
- Stock Options.
- Health Plan wherever you are.
- Flexible Days Off.
- Language, Professional, and Personal Growth courses.
Originally posted on Himalayas