Overview In this Analytics Engineer role, you’ll shape critical data models and end-to-end data pipelines to empower decision-making across Preply’s data-driven platform. You will collaborate with data scientists, analysts, and engineers to deliver accurate, scalable datasets and robust analytics capabilities. You’ll own the BI layer and drive governance, quality, and documentation to support rapid growth and personalized learning experiences. This is a chance to impact product decisions and experimentation at a integral scale.

Compensaciones / Beneficioslessons allowanceLearning & Development budgethealth insuranceequityrelocation packagemental health support ResponsabilidadesArchitect and evolve complex data models for clarity, scalability, and reliabilityDevelop and optimize ETL/ELT pipelines for a multi-terabyte ecosystemOwn and enhance the BI layer (Looker/LookML) for self-service analyticsProvide technical leadership with data science teams to optimize workflows and governancePromote engineering best practices: version control,



CI/CD for analytics, automated data quality monitoringEnsure data reliability, cleanliness, accuracy, and thorough documentation for decision-makingInfluence company-wide data strategies supporting growth, experimentation, and personalization initiatives Requisitos principales5+ years in analytics engineering, data engineering, or related fieldsExpert SQL and Python with proven data modeling experienceStrong understanding of data governance, scalable self-service analytics, and modeling best practicesExcellent communication and stakeholder influence skillsProven ability to identify problems and deliver innovative data-driven solutionsStrategic mindset, creativity, initiative in evaluating cutting-edge solutionsFluent English (C1 or higher) with ability to articulate complex data conceptscommunicationstakeholder influencestrategic thinkingSQLPythondata modeling

📌 Senior Analytics Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona