Staff Engineer — Data Platform

Stack

Responsibilities

• ▹Define architecture within the data platform and deliver projects and initiatives end-to-end
• ▹Act as the technical reference point for the team, setting standards for quality, 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, with standards for AI-assisted development, automated data quality testing and LLM-powered data workflows
• ▹Design and build performant, reliable and correct data pipelines for large volumes of payment data
• ▹Design scalable data models for 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 aligned with PCI-DSS, GDPR and other compliance frameworks relevant to payments
• ▹Partner with Product, AI and Finance teams to turn business needs into scalable data solutions
• ▹Contribute to the data platform roadmap and identify opportunities to unlock new business value through data
• ▹Mentor senior and mid-level engineers through code reviews, design reviews and knowledge-sharing sessions
• ▹Collaborate with data consumers (analysts, data scientists, product managers)

Requirements

• ▹8+ years of experience in data engineering, software engineering or a related field, with at least 2 years at staff or principal level
• ▹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

Nice to have

• ▹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

Soft skills

What we offer

• ▹Competitive compensation
• ▹Remote work from anywhere
• ▹Home office bonus: a one-time allowance to create your ideal home office
• ▹Work equipment
• ▹Stock options
• ▹Health plan wherever you are
• ▹Flexible days off
• ▹Language, professional and personal growth courses

About the company

Yuno is building the payment infrastructure that allows all companies to participate in the global market. Through a single API it connects to 300+ payment methods and orchestrates smart routing and fraud prevention across 80+ countries. Its clients include brands like InDrive, McDonald's, Rappi and Viva Aerobus.