Hybrid Senior Analytics Engineer

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About the role

  • Analytics Engineer driving the architecture and scalability of data models and pipelines at Preply. Collaborating across teams to empower data-driven decision-making in education tech.

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 our multi-terabyte data ecosystem.
  • Own and enhance our 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 our 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.

Benefits

  • A generous monthly allowance for lessons on Preply.com
  • Learning & Development budget
  • Time off for your self-development
  • Competitive financial package with equity
  • Leave allowance
  • Health insurance
  • Access to free mental health support platforms

Job title

Senior Analytics Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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