// Open Role at Cypher games
Shape the future of gaming by building and scaling robust data platforms at Cypher Games. Design reliable ETL/ELT pipelines, optimize data warehouses, and empower product and game teams with trustworthy data to enhance player experiences globally.
About the job
At Cypher Games, we are building games that reach millions of players around the world. Every feature, every economy change, every live event, and every player interaction generates valuable data that helps us make better decisions.
As a Data Engineer, you will build and scale the data platform that powers those decisions. You'll design reliable data pipelines, create clean and accessible datasets, and enable product, analytics, and game teams to move faster with trustworthy data.
This is a hands-on engineering role where you'll have ownership from day one, working closely with developers, product managers, and analysts to build the infrastructure behind our games.
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines
Develop reliable data ingestion processes from game services, third-party platforms, and internal systems
Build and optimize our data warehouse and data models for analytics and reporting
Ensure data quality, consistency, and reliability across the entire data platform
Monitor, troubleshoot, and improve production data workflows
Work closely with product, backend, and analytics teams to understand data needs and deliver scalable solutions
Optimize data processing performance and cloud infrastructure costs
Continuously improve our data architecture as our games and player base grow
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Strong SQL skills and experience working with large datasets
Proficiency in Python
Solid understanding of data modeling and ETL/ELT concepts
Experience building and maintaining production data pipelines
Experience working with event-based analytics data
Experience designing data models for product analytics
Experience working with modern cloud data platforms (preferably Google Cloud Platform)
Familiarity with orchestration tools such as Airflow or similar workflow schedulers
Experience with modern data warehouses such as BigQuery
Familiarity with Git and collaborative software development workflows
Strong problem-solving skills and attention to data quality
Passion for building scalable systems
Interest in games and data-driven product development
Nice to Have
Experience with dbt or similar transformation frameworks
Experience working with streaming data and event-driven architectures
Familiarity with messaging systems such as Kafka or Pub/Sub
Experience supporting product analytics or live game operations
Knowledge of CI/CD practices and infrastructure automation
Experience working in the gaming industry or consumer-scale products
Personal projects or open-source contributions related to data engineering
What We Value
Ownership: you don't just build pipelines - you take responsibility for keeping them healthy and reliable
Curiosity: you're always looking for better ways to process, organize, and leverage data
Pragmatism: you build solutions that are simple, scalable, and maintainable
Collaboration: you enjoy working closely with engineers and product teams
A product mindset: you understand that great data infrastructure ultimately helps us build better games
Passion for games and the impact data can have on creating amazing player experiences
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Strong SQL skills and experience working with large datasets; Proficiency in Python; Solid understanding of data modeling and ETL/ELT concepts; Experience building and maintaining production data pipelines; Experience working with event-based analytics data; Experience designing data models for product analytics; Experience working with modern cloud data platforms (preferably Google Cloud Platform); Familiarity with orchestration tools such as Airflow or similar workflow schedulers; Experience with modern data warehouses such as BigQuery; Familiarity with Git and collaborative software development workflows; Strong problem-solving skills and attention to data quality; Passion for building scalable systems; Interest in games and data-driven product development.