Engineering Manager – Data Platform

Remote, Europe  · Full Time · Experienced Engineering Manager · +6 Years of ExperienceWho We AreAt 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 RoleWe 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.As an Engineering Manager within the Data team, you will lead a team of data engineers responsible for the platform that processes billions of payment events across 80+ countries. You will own both the people strategy and set technical direction for your team that sits at the core of Yuno's business: enabling fraud detection, revenue analytics, payment optimization, and data-driven product decisions. You will operate in a fast-moving, global environment where data is mission-critical.Your Contribution Will BeTeam LeadershipLead and develop a multidisciplinary data engineering team, fostering a culture of technical excellence, ownership, and continuous improvementMentor engineers at all levels — supporting their growth through coaching, structured feedback, and clear career expectationsDrive hiring processes to attract and retain top data engineering talent globallyCreate an environment where engineers are empowered to take ownership and deliver with autonomy and paceTechnical OwnershipOwn the full lifecycle for your team — from ingestion and transformation to storage, serving, and observabilityDrive hands-on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your teamSet and enforce best practices across data modeling, pipeline reliability, testing, data quality, and documentationGuide architectural decisions for high-throughput, real-time and batch data systems, ensuring they are scalable, maintainable, and cost-efficientEnsure the team follows secure data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks applicable to the payments industryChampion an AI-first engineering culture, setting standards for AI-assisted development, automated data quality testing, and LLM-powered workflows — ensuring your team treats these tools as a default, not an afterthoughtCross-functional ExecutionCollaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an agile environment to deliver against a fast-moving roadmapBridge the gap between data consumers (analysts, data scientists, product managers) and the engineering team, ensuring data products are reliable, well-documented, and trusted across the organizationDrive the evolution of data infrastructure to support new markets, new payment providers, and growing regulatory requirementsTranslate business priorities into engineering goals, managing trade-offs between speed, reliability, and technical debtSkills You NeedMinimum QualificationsExperience managing and growing data or software engineering teams, including hiring, coaching, and performance managementStrong ability to drive technical decision-making and manage competing priorities in a fast-paced environmentExcellent communication skills — able to engage effectively with both technical and non-technical stakeholdersSolid hands-on data or software engineering background: experience designing data pipelines, data models, and platform architecture at scaleProficiency in Python and/or SQL; comfort navigating across modern data stacksDeep understanding of streaming and batch processing architectures – Kafka, Spark, Flink, Airflow, or equivalentExperience with cloud data infrastructure (AWS, GCP, or Azure) and modern data platform tools (e.g., dbt, data lakehouse patterns)Knowledge of data quality, observability, and governance principlesChampion of AI-first development — experience setting standards for AI-assisted workflows, automated testing, and code generation using LLMs and tools like Claude Code or similarExperience delivering in agile environments, adapting processes to what actually works for the teamProfessional proficiency in English — written and spokenPreferred QualificationsExperience in the payments or fintech industryFamiliarity with real-time analytics, event-driven architectures, and high-volume transactional dataExposure to ML platform design or feature store infrastructureExperience with DevOps practices applied to data: CI/CD for pipelines, infrastructure as code, and data contractsWhat We Offer at YunoCompetitive CompensationRemote Work – You can work from everywhere!Home Office Bonus – A one-time allowance to help you create your ideal home officeWork EquipmentStock OptionsHealth Plan wherever you areFlexible Days OffLanguage, Professional, and Personal Growth courses We 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 hiring@y.uno.