Preply

Senior Analytics Engineer

Preply

full-time

Posted on:

Location Type: Hybrid

Location: Kyiv • Ukraine

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Job Level

Senior

Tech Stack

ETLPythonSQL

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonETLELTLookerLookMLdata modelingdata governanceCI/CDautomated data quality monitoring
Soft Skills
technical leadershipcommunicationproblem-solvingstrategic mindsetcreativityinitiative-drivenbusiness acumenpersuasioninfluencecollaboration