Senior Data Engineer (Spark, Scala, Airflow)

Hypercell Games is a mobile game studio behind some of the most downloaded hybrid-casual and puzzle titles on the market.

Our games reach millions of players worldwide.

What you can definitely know about us:

• Sand Balls game –360 M+
• Rope and Balls – 62 M+
• Freaky Stan – 52 M+
• Garden Balls – 22 M+
• Unpuzzle – 22 M+
• Run&Gun – 13 M+

We're looking for a Senior Data Engineer to own and evolve the data platform supporting our publishing portfolio. You'll be responsible for building and maintaining ETL/ELT pipelines (Spark/Scala + Airflow), developing and optimizing BigQuery data layers, and ensuring reliable, high-quality data across multiple products and data sources. This is a highly autonomous individual-contributor role embedded within the Analytics team, with close day-to-day collaboration with analysts and full ownership of your technical domain.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines (Spark, Scala, Airflow).
• Orchestrate workflows in self-managed Apache Airflow.
• Develop and optimize data layers in BigQuery, including external tables on GCS and cost-aware data structures.
• Process large volumes of data using Spark/Scala.
• Ensure data quality through validation, monitoring, alerting, and cross-source data reconciliation.
• Prepare and maintain data marts for analytics needs.
• Document infrastructure and data pipelines.
• Contribute to the development of the analytics platform.
• Monitor and optimize storage and query costs.

Requirements

• 4+ years of experience as a Data Engineer, including production experience with Spark.
• Strong Scala skills (primary ETL language), with production Spark experience specifically on Scala.
• Advanced SQL, including window functions and query optimization.
• Experience with self-managed Apache Airflow, including writing and maintaining DAGs.
• Hands-on experience with BigQuery; experience with external tables, GCS storage, and cost optimization is a strong plus.
• Python for auxiliary tasks and analytics.
• Strong understanding of ETL/ELT concepts and pipeline design.
• Experience with data warehousing and data modeling (layers, fact/dimension).
• Experience with Git, CI/CD, and end-to-end pipeline testing.
• Experience with data quality practices, including validation, monitoring, and alerting.
• Comfortable working with AI-assisted development tools; our team actively uses Claude Code.
• Experience working closely with analysts and supporting analytical data needs.
• Ability to work independently, take ownership of the area of responsibility, and proactively drive solutions.
• Ability to explain technical decisions to non-technical colleagues.
• English and Russian languages.

Nice to have:

• Experience optimizing BigQuery costs (partitioning, clustering, external tables, materialized views, query tuning).
• Experience with advertising and attribution data, including MMPs such as Adjust and AppsFlyer.
• Understanding of layered data architecture (raw → staging → marts, medallion architecture, etc.).
• Kubernetes (ideally GKE).
• Infrastructure as Code (Terraform or similar).
• Experience with BI tools such as Superset, Tableau, or Power BI, and preparing data for visualization.

Conditions

• The opportunity to work on games played by millions of players.
• Implement your bold ideas.
• Paid vacation.
• Support for professional development (training, coaching, and more).
• Opportunity to grow and develop with the company.
• Supportive and warm working atmosphere within the team.