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 / 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

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