7 months ago
Kyiv, UkraineSenior
Responsibilities
- Lead the architecture, design, and evolution of complex, scalable, accessible, and reliable data models.
- Develop and optimize ETL/ELT pipelines across a multi-terabyte data ecosystem.
- Own and enhance the Looker BI layer using LookML for performant self-service analytics.
- Collaborate with data science, analytics, and engineering teams to optimize workflows and establish robust data governance.
- Promote engineering best practices, version control, analytics CI/CD pipelines, and automated data quality monitoring.
- Drive data reliability, cleanliness, accuracy, documentation, experimentation support, personalization initiatives, and company-wide data strategy.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or related fields.
- Expert proficiency in SQL and Python, including designing, implementing, and optimizing data models.
- Deep knowledge of data governance, modeling best practices, and scalable self-service analytics platforms.
- Strong business acumen, communication, stakeholder influence, problem-solving, creativity, and initiative.
- Fluency in English at C1 level or above, with the ability to explain complex data concepts clearly.
- Preferred experience leading data infrastructure in rapidly growing startups.
- Preferred advanced hands-on expertise with dbt, Looker, or Airflow.
- Preferred experience defining and standardizing event taxonomies and KPIs in medium-to-large organizations.
- Preferred experience with AWS or Google Cloud data ecosystems.
Benefits
- Open, collaborative, dynamic, and diverse company culture.
- Monthly allowance for lessons on Preply.com, a Learning & Development budget, and time off for self-development.
- Competitive financial package with equity, leave allowance, and health insurance.
- Access to free mental health support platforms.
- Opportunity to support learners and tutors through language learning and teaching across 175 countries.
About Preply
Preply builds an online marketplace that connects learners with human tutors for live language lessons, supported by AI tools. Consumers book 1:1 sessions and ongoing courses, while organizations use Preply Business for corporate language training; revenue comes from commissions and subscriptions. Founded in 2012 and privately held, Preply operates globally with 100,000+ tutors teaching 90+ languages.