About the role

Design, build, and maintain scalable ETL/ELT pipelines while ensuring data quality and reliability across the platform. Collaborate with product, backend, and analytics teams to optimize data models and infrastructure for game operations.

What they look for

SQL Python ETL/ELT Data Modeling Data Pipelines Google Cloud Platform BigQuery Airflow Data Warehousing Git Data Quality Analytics Cloud Infrastructure Event-based Analytics Data Engineering

Requirements

Requires a bachelor's degree in a technical field and strong proficiency in SQL and Python. Candidates must have experience building production data pipelines and working with cloud data platforms like BigQuery.

Full description

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

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