Posted Aug 20, 2026

Senior Data Engineer

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Senior Data Engineer

About the company

Playrix is one of the most successful mobile game development companies, ranking among the top 3 mobile game developers in the world. Our games have been installed 2.3 billion times (one-third of the world’s population), and more than 30 million people play them every day!

Team, about the role

AI Platform is one of our most forward-looking teams. It owns the shared infrastructure and platform layer that AI work across the company runs on — everything from how LLMs are used and measured to the knowledge and retrieval systems built on top of them.

 
A large share of the work is data engineering, because there's a lot of information to move, process and make sense of: LLM usage and cost analytics (tokens, cache, spend), and applied systems like contextual knowledge bases and vector search.

 
Playrix works with roughly 7 petabytes of data.

Tasks

  • Building and owning data pipelines and the platform layer that AI products across the company depend on
  • Analytics on LLM usage — cost, token and cache economics, financial reporting on AI spend
  • RAG systems: contextual knowledge bases, vector and semantic search infrastructure
  • Making the platform operable — profiling, monitoring, observability of the pipelines you own
  • Building interfaces and services on top of the data, not just landing it (auth, APIs, interactive access for consumers)
  • Requirements

  • Strong commercial data engineering experience with a modern stack — e.g. Airflow, Dagster, Greenplum, Snowflake, Databricks, dbt or similar
  • Confident Python, plus a working backend mindset: how authorisation works, how a service is exposed and consumed. We're looking for a data engineer who is comfortable building something interactive, not only delivering datasets downstream
  • Practical understanding of how to profile and monitor data systems in production
  • Real understanding of the AI/LLM layer — vector databases, embeddings, contextual and semantic search, RAG architectures, how autonomous agents work. This is an AI Platform team: we expect conceptual grasp of these technologies, not just having used a coding assistant
  • Cloud experience (AWS ideally)
  • We offer

    Our Perks

    Flexibility at work

    Caring for health and well-being

    Professional development and education

    Events and merch

    Pet care

    Work Format

    Remote or from one of the company's offices.

    Strong commercial data engineering experience; Python, backend services, production monitoring, AI/LLM concepts, vector databases, RAG, semantic search, and AWS cloud experience.

    Key Responsibilities

    Skills & Tools

    Airflow, Dagster, Greenplum, Snowflake, Databricks, dbt, Python, AWS

    Job Details

    Benefits

    About Playrix

    A global mobile game development company creating games played by millions worldwide. — Industry: Media and Communications