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, enhancing performance and scalability within a multi-terabyte data ecosystem
• ▹Own and enhance the BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self-service analytics
• ▹Provide technical leadership in collaboration with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance
• ▹Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring
• ▹Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision-making
• ▹Strategically influence and drive company-wide data strategies supporting rapid product growth, sophisticated experimentation, and large-scale personalization initiatives

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 implementation of scalable self-service analytics platforms
• ▹Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics
• ▹Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of data to bring direct business impact
• ▹Strategic mindset, high creativity, and an initiative-driven approach to developing and evaluating cutting-edge solutions
• ▹Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders

Nice to have

• ▹Experience leading and scaling data infrastructure within rapidly growing startups
• ▹Advanced hands-on expertise with DBT, Looker, or Airflow
• ▹Proven experience in 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

• ▹An open, collaborative, dynamic, and diverse culture
• ▹A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for self-development
• ▹A competitive financial package with equity, leave allowance, and health insurance
• ▹Access to free mental health support platforms
• ▹The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

About the company

Preply is an EdTech company connecting learners with tutors — over 100,000 tutors teaching 90+ languages to learners in 180 countries. The company recently reached unicorn status after a $150M Series D funding round. The team is building a modern data infrastructure using DBT, Snowflake, Airflow, Looker, Databricks, and Monte Carlo to help teams extract insights, optimize experiments, and power innovation.