Engineering Manager– Data Platform, Saint-Martin-Lacaussade

Remote, Europe· Full Time · Experienced Engineering Manager · +6 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 Weare 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 Be Team Leadership

Lead and develop a multidisciplinary data engineering team, fostering a culture of technical excellence, ownership, and continuous improvement

Mentor engineers at all levels— supporting their growth through coaching, structured feedback, and clear career expectations

Drive hiring processes to attract and retain top data engineering talent globally

Create an environment where engineers are empowered to take ownership and deliver with autonomy and pace

Technical Ownership

Own the full lifecycle for your team— from ingestion and transformation to storage, serving, and observability

Drive hands‑on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your team

Set and enforce best practices across data modeling, pipeline reliability, testing, data quality, and documentation

Guide architectural decisions for high‑throughput, real‑time and batch data systems, ensuring they are scalable, maintainable, and cost‑efficient

Ensure the team follows secure data handling practices aligned with PCI‑DSS, GDPR, and other compliance frameworks applicable to the payments industry

Champion 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 afterthought

Cross‑functional Execution

Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an agile environment to deliver against a fast‑moving roadmap

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

Drive the evolution of data infrastructure to support new markets, new payment providers, and growing regulatory requirements

Translate business priorities into engineering goals, managing trade‑offs between speed, reliability, and technical debt

Skills You Need Minimum Qualifications

Experience managing and growing data or software engineering teams, including hiring, coaching, and performance management

Strong ability to drive technical decision‑making and manage competing priorities in a fast‑paced environment

Excellent communication skills— able to engage effectively with both technical and non‑technical stakeholders

Solid hands‑on data or software engineering background: experience designing data pipelines, data models, and platform architecture at scale

Proficiency in Python and/or SQL; comfort navigating across modern data stacks

Deep understanding of streaming and batch processing architectures— Kafka, Spark, Flink, Airflow, or equivalent

Experience 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 principles

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

Experience delivering in agile environments, adapting processes to what actually works for the team

Professional proficiency in English— written and spoken

Preferred Qualifications

Experience in the payments or fintech industry

Familiarity with real‑time analytics, event‑driven architectures, and high‑volume transactional data

Exposure to ML platform design or feature store infrastructure

Experience with DevOps practices applied to data: CI/CD for pipelines, infrastructure as code, and data contracts

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 .

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