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Senior Analytics Engineer, Rides Product

Estonia, Tallinn · Job Posted March 02, 2026
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Job Description

We are looking for an experienced Senior Analytics Engineer to join our Rides Product team to empower the organisation with scalable, reusable, high-quality data products and solutions to improve the experience of many millions of riders and drivers across the globe. As a Senior Analytics Engineer in the Rides Product team you will be much more than a data expert, you will actively contribute to shaping the future of mobility. You will empower the organisation with scalable, reusable, high-quality data products and solutions that drive impact across Product and beyond. You will own everything between the data producers and data consumers, and be a sparring partner to our product analysts.

Job Responsibility

  • Work closely with product analysts and adjacent stakeholders to prioritize and align analytics engineering roadmaps
  • Build, expand and maintain reusable data models and metrics in dbt
  • Set up and manage the architecture, documentation, and key data transformations for in-house and third-party data
  • Improve the efficiency and impact of product analysts through data products, processes, collaboration and active knowledge-sharing
  • Develop strategic data products such as segmentation feature store or enable advanced solutions such as interactive metrics trees
  • Follow system design and architectural best practices and closely collaborate with cross-functional stakeholders to ensure data integrity and efficiency across all processes

Requirements

  • Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies
  • Significant experience with data modeling, developing analytics architectures for large volumes of data
  • Proficient in SQL, Python, Spark, data modelling tools such as dbt and orchestration tools such as Apache Airflow
  • Excellent knowledge of system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability
  • Strong cross-functional collaborator with good business sense and excellent communication skills in verbal and written English

Nice to have

Previous exposure to Business Intelligence tools such as Looker or Tableau

What we offer

  • Rewarding salary and stock option package
  • Flexibility of working in a hybrid mode
  • Wellness perks to take care of physical and mental health

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