Engineering Manager – Data Platform

<div> <p>Remote, Europe&nbsp; · Full Time · Experienced Engineering Manager · +6 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&nbsp;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>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.&nbsp;</p> <p>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.</p> <h2><br>Your Contribution Will Be</h2> <p><strong>Team Leadership</strong></p> <ul> <li>Lead and develop a multidisciplinary data engineering team, fostering a culture of technical excellence, ownership, and continuous improvement.</li> <li>Mentor engineers at all levels — supporting their growth through coaching, structured feedback, and clear career expectations.</li> <li>Drive hiring processes to attract and retain top data engineering talent globally.</li> <li>Create an environment where engineers are empowered to take ownership and deliver with autonomy and pace.</li> </ul> <p><strong>Technical Ownership</strong></p> <ul> <li>Own the full lifecycle for your team — from ingestion and transformation to storage, serving, and observability.</li> <li>Drive hands-on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your team.</li> <li>Set and enforce best practices across data modeling, pipeline reliability, testing, data quality, and documentation.</li> <li>Guide architectural decisions for high-throughput, real-time and batch data systems, ensuring they are scalable, maintainable, and cost-efficient.</li> <li>Ensure the team follows secure data handling practices aligned with PCI-DSS, GDPR, and other compliance frameworks applicable to the payments industry.</li> <li>Champion an <strong>AI-first engineering culture</strong>, 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 afterthought.</li> </ul> <p><strong>Cross-functional Execution</strong></p> <ul> <li>Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an agile environment to deliver against a fast-moving roadmap.</li> <li>Bridge 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 organization.</li> <li>Drive the evolution of data infrastructure to support new markets, new payment providers, and growing regulatory requirements.</li> <li>Translate business priorities into engineering goals, managing trade-offs between speed, reliability, and technical debt.</li> </ul> <hr> <h2>Skills You Need</h2> <h3>Minimum Qualifications</h3> <ul> <li>Experience managing and growing data or software engineering teams, including hiring, coaching, and performance management.</li> <li>Strong ability to drive technical decision-making and manage competing priorities in a fast-paced environment.</li> <li>Excellent communication skills — able to engage effectively with both technical and non-technical stakeholders.</li> <li>Solid hands-on data or software engineering background: experience designing data pipelines, data models, and platform architecture at scale.</li> <li>Proficiency in Python and/or SQL; comfort navigating across modern data stacks.</li> <li>Deep understanding of streaming and batch processing architectures – Kafka, Spark, Flink, Airflow, or equivalent.</li> <li>Experience with cloud data infrastructure (AWS, GCP, or Azure) and modern data platform tools (e.g., dbt, data lakehouse patterns).</li> <li>Knowledge of data quality, observability, and governance principles.</li> <li>Champion of AI-first development — experience setting standards for AI-assisted workflows, automated testing, and code generation using LLMs and tools like Claude Code or similar.</li> <li>Experience delivering in agile environments, adapting processes to what actually works for the team.</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 real-time analytics, event-driven architectures, and high-volume transactional data.</li> <li>Exposure to ML platform design or feature store infrastructure.</li> <li>Experience with DevOps practices applied to data: CI/CD for pipelines, infrastructure as code, and data contracts.</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> </div> <div>&nbsp;</div><p>Find <a href="https://www.arbeitnow.co.uk">Jobs in United Kingdom</a> on Arbeitnow</a>