Yuno
Staff Engineer — Data Platform
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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.
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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
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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
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.
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