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# Senior Analytics Engineer

- **Company:** Preply Inc.
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Continuous Integration, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), SQL Databases, Data Strategy, Data Analytics, Looker Analytics, Software Version Control, Data Pipelines
- **Published:** September 18, 2026
- **Apply:** https://www.buscojobs.com.es/senior-analytics-engineer-en-barcelona-ID-372178283

## About the Role

Requisitos principales5+ 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

## Description

OverviewIn 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 global scale.Compensaciones / Beneficioslessons allowanceLearning & Development budgethealth insuranceequityrelocation packagemental health supportResponsabilidadesArchitect 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 initiativesRequisitos 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


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