Senior Engineering Manager (Data Platform)

About this role

WE POWER PEOPLE’S PROGRESS. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning.

Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

MEET THE TEAM! At Preply, the Data Platform team provides a single, trusted, and scalable data foundation for the whole company. The team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply's Lakehouse — including the extraction, normalization, and generation of structured data from Preply's unstructured assets, forming a durable data moat for AI-driven products.

The team owns end-to-end batch and streaming ingestion pipelines, data contracts and quality checks, enrichment and modeling across domains, and the self-service tooling that lets other teams onboard new data sources within clear guardrails. It works closely with ML Platform, Applied and Data Scientists, Analytics Engineering, Backend, and Product squads, so that datasets, features, and pipelines are production-ready, observable, and reusable across Preply.

As the Senior Engineering Manager for Data Platform, you'll own the engineering strategy, execution, and organizational health of the team that every analytics, ML, and AI initiative at Preply depends on. This is a leadership role for a manager with strong technical judgment. You'll go deep on data architecture, reliability, and platform abstractions, coach senior engineers, set operational standards, and partner with Data, ML, Product, Security, and Engineering leaders across the company.