Data Engineer

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. We're looking for an experienced Data Engineer to join our team and take a key role in helping us deliver higher quality data and insights on a fast growing data scale platforms.

By managing the data infrastructure for all domains and departments, the group helps integrate data into daily work and supports data-driven decision-making across Papaya. The team takes ownership of end-to-end data processes, enabling Papaya to become the largest tournament platform.

Our dedicated department delivers not just reliable data, but actionable insights that empower informed decision-making at every level of the company. Join us in leveraging the power of data to elevate Papaya to new heights!

We’re hiring a Data Engineer to join our Core infra Data team!

In this role, you’ll be at the heart of our data infrastructure—designing, building, and maintaining the pipelines and systems that ensure our core game data is accurate, reliable, and always available across the organization.

You’ll own the architecture and performance of our data warehouse, integrate data from multiple systems into a single source of truth, and build the tools that power A/B testing, product analytics, and strategic decision-making.

This is a highly technical role with real business impact! 

• Be responsible for designing, implementing, and maintaining complicated data pipelines
• Work closely with Analytics, R&D, Product & Marketing departments to make in-game data accessible & reliable
• Take ownership of existing ETL processes overseeing extensive data scale & complex structures
• Pull data from various data sources and integrate it into the ETL process
• Maintain and support data platforms for analytics (e.g. GCP)
• Optimize workloads to reduce run time and improve performance
• Develop monitoring over BI infrastructure
• Support A/B testing and analytics
• Conduct data flow validation testing and AdHoc troubleshooting from in-company & external data sources
• Translate business requirements to technical specifications in conjunction with other departments as part of the development of new features
• Design, build and deploy BI solutions (e.g. reporting tools) - Create visualizations and reports for company-wide projects
• Develop and update technical documentation

• BSc / BA in Computer Science / Engineering / Information Technology / Data Systems Management or an equivalent background
• 3+ years of experience as a BI Developer / Data Engineer (DWH, ETL)
• Experien.ce with business departments stakeholders (marketing, finance, etc.) - a must
• Proficient in SQL - a must
• Experience with Python Development - a must                                                                                                      
• Strong Technical Skills – High level of technical proficiency, with the ability to design, implement, and maintain complex data systems end-to-end.                           
• Significant experience with GCP Platform (BigQuery, IAM & Admin, Monitoring, etc.) - an advantage
• Significant experience with workflow managers such as Airflow / DBT - an advantage
• Experience with BI reporting platforms (Looker, Tableau, Power BI, etc) - an advantage
• Experience with 24/7 production systems and real-time analytics