Senior Analytics Engineer

Stack

Responsibilities

• ▹Lead the architecture, design and evolution of complex data models, ensuring clarity, accessibility, scalability and reliability
• ▹Develop and optimize sophisticated ETL/ELT pipelines within a multi-terabyte data ecosystem
• ▹Own and enhance the BI layer (Looker via LookML) for intuitive, performant and scalable self-service analytics
• ▹Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy and enforce data governance
• ▹Champion engineering best practices, including version control, CI/CD pipelines for analytics and automated data quality monitoring
• ▹Drive data reliability, cleanliness, accuracy and comprehensive documentation
• ▹Strategically influence company-wide data strategies supporting rapid product growth, experimentation and large-scale personalization

Requirements

• ▹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 scalable self-service analytics platforms
• ▹Blend of technical skills, business acumen and compelling communication to influence stakeholders
• ▹Proven track record in identifying complex problems and delivering proactive, innovative solutions with direct business impact
• ▹Strategic mindset, high creativity and an initiative-driven approach
• ▹Fluency in English (C1 level or above), with the ability to clearly articulate complex data concepts

Nice to have

• ▹Experience leading and scaling data infrastructure within rapidly growing startups
• ▹Advanced hands-on expertise with DBT, Looker or Airflow
• ▹Experience defining and standardizing event taxonomies and KPIs within medium-to-large organizations
• ▹Strong experience in AWS or Google Cloud data ecosystems

Soft skills

What we offer

• ▹Modern data stack: DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, with a say in future tech choices
• ▹Open, collaborative, dynamic and diverse culture
• ▹Generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for self-development
• ▹Competitive financial package with equity, leave allowance and health insurance
• ▹Relocation package to join the Barcelona hub if you are not based there
• ▹Free mental health support platforms
• ▹Access to Gympass-partnered wellness and gym centers in Spain

About the company

Preply is an ed-tech company whose platform connects 100,000+ tutors teaching 90+ languages with learners in 180 countries. It runs hundreds of A/B tests at a time and recently closed a $150M Series D.