Senior Data Engineer
Pubblicato il 13-08-2026 - Preply in Milano
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 ingestion and enrichment team provides a single, trusted, and scalable data foundation. The team ensures that all analytics, machine learning,
and product features are built on unified, governed, and production-grade data assets in Preply’s Lake House, including the extraction, normalization, and generation of structured data from Preply’s unstructured assets, forming a durable data moat for AI-driven products.
As a Senior Data Engineer in the Data Ingestion and Enrichment team, you will design and own the data layer that powers both Preply’s analytics, machine learning, and product. You will work closely with ML Platform, Applied/Data Scientists, Analytics Engineering, and Product squads to ensure that features, datasets, and pipelines are production-ready, observable, and reusable across the company. This role combines hands-on engineering with technical leadership.
What you’ll be doing:
Build trusted ingestion & enrichment foundations (Data Lake and Data as a Product):
Design, build, and own Preply’s data lake. Ensure every dataset has clear own