Data Platform Engineer; Remote – Europe

Position: Staff Data Platform Engineer (Remote – Europe)
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:
Star Rocks 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.

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

Deep expertise in designing and building large-scale data platforms — streaming, batch, or…