Staff Engineer — Data Platform

ppEurope · Remote · Full Time · Staff-Level Individual Contributor · +8 Years of Experience /p h3Who We Are /h3 pAt 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. /p pWe 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. /p h3About The Role /h3 pWe are orchestrating a high-performing data team that works with pace and enthusiasm! /p pYuno 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. /p pIf 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. /p pYou 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. /p h3Your Contribution Will Be /h3 pThe stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights. /p pThe hard work of making it super reliable is still in front of us - and that's exactly why this role exists. /p h3Technical Leadership /h3 ul liDefine architecture within the data platform, structure and deliver projects and initiatives end-to-end /li liAct as a technical reference point for the Data team, setting quality standards, testing, observability, data modeling, and documentation /li liLead the design and implementation of scalable, low-latency data pipelines that process high-volume payment transactions in real time /li liChampion an AI-first engineering culture, establishing standards for AI-assisted development, automated data quality testing, and LLM-powered data workflows /li /ul h3Hands-On Engineering /h3 ul liDesign and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast /li liDesign scalable data models that support business-critical use cases: fraud detection, revenue analytics, payment success rate optimization, regulatory reporting /li liOwn platform reliability — SLAs, data quality, alerting, and incident response for data services /li liEnsure secure data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks relevant to the payments industry /li /ul h3Cross-Functional Impact /h3 ul liPartner with Product, AI, and Finance teams to translate business needs into scalable data solutions /li liContribute to the roadmap of the data platform and proactively identify opportunities to unlock new business value through data /li liMentor senior and mid-level engineers, raising the technical bar across the team through code reviews, design reviews, and knowledge-sharing sessions /li liCollaborate with Data Consumers (analysts, data scientists, product managers) to ensure data products are reliable, well-documented, and fit for purpose /li /ul h3Skills You Need /h3 h3Minimum Qualifications /h3 ul li8+ years of experience in data engineering, software engineering, or a related field, with at least 2 years operating at a staff or principal level /li liDeep expertise in designing and building large-scale data platforms — streaming, batch, or hybrid architectures /li liHands-on experience with Spark, Flink, Kafka, StarRocks, or equivalent /li liStrong Python and SQL skills; comfort working across multiple languages and paradigms /li liSolid understanding of data modeling techniques: dimensional modeling, Data Vault, or lakehouse patterns /li liExperience with cloud data infrastructure (AWS, GCP, or Azure), including managed services for storage, compute, and orchestration /li liStrong grasp of data quality, observability, and governance principles /li liProven ability to set standards and lead technical initiatives across multiple teams without direct authority /li liProfessional proficiency in English — written and spoken /li /ul h3Preferred Qualifications /h3 ul liExperience in the payments or fintech industry /li liFamiliarity with dbt, Great Expectations, or similar /li liExperience with event-driven services and data mesh approaches /li liExposure to ML platform design or feature store infrastructure /li /ul h3What We Offer at Yuno /h3 ul liCompetitive Compensation /li liRemote Work - You can work from everywhere! /li liHome Office Bonus - A one-time allowance to help you create your ideal home office /li liWork Equipment /li liStock Options /li liHealth Plan wherever you are /li liFlexible Days Off /li liLanguage, Professional, and Personal Growth courses /li /ul pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at /p /p #J-18808-Ljbffr