Data Engineer

Cypher Games; Fatih; On-site; TRY 600,000 - 900,000; Full time

Job summary

Cypher Games is seeking a Data Engineer to design, build, and scale a data platform powering analytics for games and live events. You will own end-to-end data pipelines, ingestions from game services and third parties, and data models for product analytics.

You will collaborate with product managers, analytics teams, and engineers to ensure data quality and scalable solutions, while optimizing cloud costs and performance. This hands-on role requires strong SQL, Python, and cloud experience.

Qualifications

• Bachelor's degree or equivalent in a related field.
• Experience with large datasets and data warehousing.
• Experience with event-based analytics and production data pipelines.

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.

Skills

SQL

Python

ETL/ELT

Data modeling

BigQuery

Airflow

GCP

Git

Data quality

Problem solving

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Tools

dbt

Pub/Sub

Kafka

Dataflow

Job 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