Data Engineer (Marketing)

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.

We are looking for a Data Engineer to join our Marketing BI & DE team!

You’ll take part in impactful projects, working closely with business owners from requirements through implementation, and play a key role in shaping how data drives performance, user engagement, and monetization. you’ll design, build, and maintain scalable and efficient data pipelines that transform raw data into clean, structured, and actionable datasets.

By doing so, we enable the Marketing team to make data-driven decisions, optimize spending, enhance performance, and gain a deep understanding of user engagement and monetization.

Responsibilities:

• Own and lead end-to-end data projects—from gathering requirements with business stakeholders to delivering scalable, high-impact solutions.
• Design and maintain robust data pipelines (ETLs) that process marketing and in-game data using SQL, Python, Airflow, BigQuery, and Looker.
• Support existing systems, troubleshoot issues, and ensure high availability.
• Collaborate with cross-functional teams to deliver clean, reliable datasets that drive smarter decisions
  
  

• 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)
• Experience with business departments stakeholders (marketing, finance, etc.) - a must
• Proficient in SQL - a must
• Experience with Python Development - a must
• Business-oriented mindset – Ability to understand business goals, translate them into data solutions, and prioritize work based on impact.
• 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