Data Engineer - Scalable Gaming Analytics Platform

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

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.