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Preply

Online language-learning marketplace connecting live tutors

Senior Analytics Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeKyiv, UkraineHybrid

About the Job

Requirements

  • At least 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 designing, implementing, and optimizing data models.
  • Deep understanding of advanced data governance frameworks, modeling best practices, and implementing scalable self-service analytics platforms.
  • Ability to use technical skills and business acumen to influence stakeholders on complex topics.
  • Proven ability to identify complex problems and deliver proactive solutions that uncover data use cases with direct business impact.
  • Fluency in English at C1 level or above, with the ability to articulate complex data concepts to diverse stakeholders.

Responsibilities

  • Lead the architecture, design, and evolution of complex data models to ensure clarity, accessibility, scalability, and reliability.
  • Develop and optimize ETL/ELT pipelines to improve performance and scalability in a multi-terabyte data ecosystem.
  • Own and enhance the Looker BI layer via LookML to provide intuitive, performant, and scalable self-service analytics.
  • Collaborate with data science teams to optimize analytical workflows, reduce redundancy, and enforce robust data governance.
  • Promote engineering best practices, including advanced version control, CI/CD pipelines for analytics, and automated data quality monitoring.
  • Drive initiatives that ensure data reliability, cleanliness, accuracy, and comprehensive documentation for business decision-making.
  • Influence and drive company-wide data strategies supporting product growth, experimentation, and large-scale personalization.

Desired Qualifications

  • 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 with AWS or Google Cloud data ecosystems.

About the Company

Preply

Online language-learning marketplace connecting live tutors

Preply is an online language-learning marketplace that connects learners with live tutors for 90+ languages across 180 countries. Through the platform, students can choose a language, browse tutors, schedule lessons, and receive video-based instruction from tutors around the world. Lessons are supported by an AI co-pilot toolkit that helps with practice, personalization, and learning data to aid the tutoring process. What sets Preply apart is its large, global network of more than 100,000 tutors, a broad language catalog, and a focus on combining human teaching with AI-assisted tools, backed by strong funding and profitability signals (it became EBITDA-positive) and a recent €127 million Series D to expand AI/data capabilities, product and engineering hiring, and global growth. The company’s goal is to make language learning accessible and effective for learners anywhere by scaling high-quality tutoring worldwide and enhancing it with AI-driven tools.

Company size
10,001+
Company stage
Series D
Total funding
$321.9M
Headquarters
Brookline, MA
Founded
2012

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