drjobs Analytics Engineer

Analytics Engineer

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1 Vacancy
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Job Location drjobs

Kyiv - Ukraine

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We power peoples progress.

At Preply were all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor craft a personalized learning journey and stay motivated to keep growing. Our approach is human-led tech-enabled - and its creating real impact. So far 90000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change fuels ambition and drives progress that matters.

Meet the team!

At Preply we run hundreds of A/B tests at any given time each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting high-impact environment where data engineering plays a crucial role in shaping our business decisions.

We are passionate about building a modern data infrastructure that enables our teams to extract insights optimize experiments and power innovation. As Analytics Engineer you will help shape critical data models streamline pipelines and optimize our analytics stack to empower decision-making across the company.

Why Youll Love This Role:

  • Cutting-edge data stack: work with DBT Snowflake Airflow Looker Databricks Monte Carlo and help shape our future tech choices.
  • End-to-End impact: own and evolve the entire data pipeline from ingestion to transformation and modeling ensuring accuracy scalability and performance.
  • Cross-team collaboration: partner with data scientists analysts and engineers to create high-quality actionable datasets for business insights.
  • Continuous learning & growth: be part of a data-driven culture where innovation best practices and ownership drive success.

What Youll Be Doing:

  • Design build and evolve our data models to ensure simplicity accessibility scalability and reliability.
  • Develop efficient ETL/ELT pipelines optimizing event ingestion and transformation across our multi-terabyte data lake/warehouse.
  • Optimize and manage our BI layer (Looker via LookML) ensuring clear intuitive and performant self-service analytics.
  • Collaborate with data scientists to optimize pipelines minimize redundancies and improve data governance.
  • Apply software engineering best practices like version control CI/CD for analytics and automated data quality checks.
  • Drive data reliability initiatives ensuring clean accurate and well-documented data for decision-making.
  • Influence company-wide data strategies to support product growth experimentation and personalization at scale.

What you need to succeed:

  • Around 3-5 years of experience in analytics engineering data engineering or similar roles.
  • Proficiency in SQL and Python. Experience building and maintaining BI models.
  • A strong understanding of data governance modeling best practices and self-service analytics.
  • A rare combination of technical skills business mindset and communication skills able to persuade and influence data/business stakeholders;
  • Strong curiosity problem-finding and problem-solving skills;
  • Creative mindset and a proactive/can-do attitude towards the creation and evaluation of new solutions;
  • Fluency in English (C1 level or above) with the ability to communicate complex data concepts clearly.

Nice to have:

  • Experience scaling data infrastructure in fast-growing startups.
  • Hands-on experience with DBT Looker or Airflow.
  • Knowledge of event taxonomy standardization and KPI definition across medium-to-large organizations.
  • Experience working with AWS or Google Cloud data ecosystems.
  • Familiarity with other workflow orchestration tools (Luigi Jenkins etc.).

Why youll love it at Preply:

Our Principles

Diversity Equity and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

Preply will consider all applications for employment without regard to race color religion gender identity or expression sexual orientation national origin disability age or veteran status. Together we are The World Class.

Employment Type

Full Time

About Company

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