Overview
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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 general scale.
Compensaciones / Beneficios
lessons allowance
Learning & Development budget
health insurance
equity
relocation package
mental health support
Responsabilidades
Architect and evolve complex data models for clarity, scalability, and reliability
Develop and optimize ETL/ELT pipelines for a multi-terabyte ecosystem
Own and enhance the BI layer (Looker/LookML) for self-service analytics




Provide technical leadership with data science teams to optimize workflows and governance
Promote engineering best practices: version control, CI/CD for analytics, automated data quality monitoring
Ensure data reliability, cleanliness, accuracy, and thorough documentation for decision-making
Influence company-wide data strategies supporting growth, experimentation, and personalization initiatives
Requisitos principales
5+ years in analytics engineering, data engineering, or related fields
Expert SQL and Python with proven data modeling experience xqbhyrx
Strong understanding of data governance, scalable self-service analytics, and modeling best practices
Excellent communication and stakeholder influence skills
Proven ability to identify problems and deliver innovative data-driven solutions
Strategic mindset, creativity, initiative in evaluating cutting-edge solutions
Fluent English (C1 or higher) with ability to articulate complex data concepts
communication
stakeholder influence
strategic thinking
SQL
Python
data modeling

📌 Senior Analytics Engineer (Barcelona)
🏢 Preply
📍 Barcelona