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, data is foundational to how we build, experiment, and scale our product. We run hundreds of A/B tests at any given time , power a complex two-sided marketplace , and increasingly rely on data to enable AI-driven personalization and decision-making .

Our analytics platform supports teams across Product, Growth, Finance, and Engineering/AI, and its quality directly impacts the speed and confidence of company-wide decisions.

As a Staff Analytics Engineer , you will play a critical role in shaping the analytical foundations of Preply . You’ll operate at a company-wide level, setting standards, designing scalable data models, and influencing how analytics engineering is practiced across teams. This is a role for someone who wants to build systems that others build on.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What You’ll Be Doing

• Lead the design and evolution of core analytical data models across key business domains, ensuring clarity, scalability, and long-term sustainability.
• Define and champion analytics engineering standards (modeling patterns, naming conventions, testing strategies, documentation) used across the organization.

What You Need To Succeed

• Extensive experience in analytics engineering, data engineering, or related roles, operating on complex, high-impact data systems.
• Expert-level proficiency in SQL, with experience using Python in data workflows.
• Proven track record of designing scalable analytical data models that support experimentation, reporting, and strategic decision-making.
• Advanced hands-on experience with dbt, Looker, Airflow, or similar tools.
• Deep understanding of data modeling best practices, analytics architecture, and self-service BI platforms.

Nice to have

• Experience scaling data platforms in high-growth or post-Series C startups.
• Proven experience defining and standardizing event taxonomies, KPIs, and canonical metrics.
• Strong experience working with AWS or Google Cloud data ecosystems.
• Previous experience mentoring or coaching other data professionals.

Our Principles

Diversity, Equity, and Inclusion Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.