Senior Analytics Engineer

Senior Analytics Engineer 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, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high-impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimize experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimize our analytics stack to empower decision-making across the company. WHY YOU’LL LOVE THIS ROLE - Cutting-edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. - End-to-End impact: own and evolve the entire data pipeline, from ingestion to transformation and modeling, ensuring accuracy, scalability, and performance. - Cross-team collaboration: partner with data scientists, analysts, and engineers to create high-quality, actionable datasets for business insights. - Continuous learning & growth: be part of a data-driven culture where innovation, best practices, and ownership drive success. WHAT YOU WILL BE DOING - Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. - Develop and optimize sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi-terabyte data ecosystem. - Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self-service analytics. - Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance. - Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. - Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision-making. - Strategically influence and drive company-wide data strategies supporting rapid product growth, sophisticated experimentation, and large-scale personalization initiatives. WHAT YOU NEED TO SUCCEED - 5+ years of hands-on experience in analytics engineering, data engineering, or related fields. - Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimizing data models. - Deep understanding of advanced data governance frameworks, modeling best practices, and implementation of scalable self-service analytics platforms. - Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. - Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring ... (truncated, view full listing at source)