Staff Engineer — Data Platform

<p>Europe · Remote · Full Time · Staff-Level Individual Contributor · +8 Years of Experience</p> <hr> <h2>Who We Are</h2> <p>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.</p> <p>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.</p> <hr> <h2>About The Role</h2> <p>We are orchestrating a high-performing data team that works with pace and enthusiasm!</p> <p>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.</p> <p>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.</p> <p>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.</p> <h3>Your Contribution Will Be</h3> <p>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.</p> <p>The hard work of making it super reliable is still in front of us — and that's exactly why this role exists.</p> <div> <p><strong>Technical Leadership</strong></p> <ul> <li>Define architecture within the data platform, structure and deliver projects and initiatives end-to-end.</li> <li>Act as a technical reference point for the Data team, setting quality standards, testing, observability, data modeling, and documentation.</li> <li>Lead the design and implementation of scalable, low-latency data pipelines that process high-volume payment transactions in real time.</li> <li>Champion an AI-first engineering culture, establishing standards for AI-assisted development, automated data quality testing, and LLM-powered data workflows.</li> </ul> <div> <p><strong>Hands-On Engineering</strong></p> <ul> <li>Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast.</li> <li>Design scalable data models that support business-critical use cases: fraud detection, revenue analytics, payment success rate optimization, regulatory reporting.</li> <li>Own platform reliability — SLAs, data quality, alerting, and incident response for data services.</li> <li>Ensure secure data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks relevant to the payments industry.</li> </ul> <div> <p><strong>Cross-Functional Impact</strong></p> <ul> <li>Partner with Product, AI, and Finance teams to translate business needs into scalable data solutions.</li> <li>Contribute to the roadmap of the data platform and proactively identify opportunities to unlock new business value through data.</li> <li>Mentor senior and mid-level engineers, raising the technical bar across the team through code reviews, design reviews, and knowledge-sharing sessions.</li> <li>Collaborate with Data Consumers (analysts, data scientists, product managers) to ensure data products are reliable, well-documented, and fit for purpose.</li> </ul> </div> </div> </div> <hr> <h2>Skills You Need</h2> <h3>Minimum Qualifications</h3> <ul> <li>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.</li> <li>Deep expertise in designing and building large-scale data platforms — streaming, batch, or hybrid architectures.</li> <li>Hands-on experience with Spark, Flink, Kafka, StarRocks, or equivalent.</li> <li>Strong Python and SQL skills; comfort working across multiple languages and paradigms.</li> <li>Solid understanding of data modeling techniques: dimensional modeling, Data Vault, or lakehouse patterns.</li> <li>Experience with cloud data infrastructure (AWS, GCP, or Azure), including managed services for storage, compute, and orchestration.</li> <li>Strong grasp of data quality, observability, and governance principles.</li> <li>Proven ability to set standards and lead technical initiatives across multiple teams without direct authority.</li> <li>Professional proficiency in English — written and spoken.</li> </ul> <h3>Preferred Qualifications</h3> <ul> <li>Experience in the payments or fintech industry.</li> <li>Familiarity with dbt, Great Expectations, or similar.</li> <li>Experience with event-driven services and data mesh approaches.</li> <li>Exposure to ML platform design or feature store infrastructure.</li> </ul> <hr> <h2>What We Offer at Yuno</h2> <ul> <li>Competitive Compensation.</li> <li>Remote Work – You can work from everywhere!</li> <li>Home Office Bonus – A one-time allowance to help you create your ideal home office.</li> <li>Work Equipment.</li> <li>Stock Options.</li> <li>Health Plan wherever you are.</li> <li>Flexible Days Off.</li> <li>Language, Professional, and Personal Growth courses.</li> </ul><p>Find more <a href="https://www.arbeitnow.co.uk/english-speaking-jobs">English Speaking Jobs in United Kingdom</a> on Arbeitnow</a>