Senior Data Engineer

Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv.

With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level.

As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.

As we expand, we're looking for a rockstar to join our great team!

As a Senior Data Engineer, you will join the team that owns all of our data processes, systems and modeling. Supporting varying needs - from monitoring, through data analysis and up to ML algorithms influencing players' experience in production.

Responsibilities

• Design, develop & maintain BI assets - data models and intuitive solutions that put reliable insights in users’ hands.
• Create new data solutions while continuously optimizing existing pipelines, models, and tables to improve performance, scalability, and data quality.
• Build and own the core Marketing data stack (tables, dashboards, reports) that powers daily campaign optimisation and performance tracking.
• Gather business requirements and translate them into scalable data pipelines and models, enabling seamless consumption through reporting.
• Manage and evolve the underlying data architecture so it accurately reflects changing business needs, ensuring consistency, integrity, and high availability of data.
• Lead end-to-end BI initiatives and projects - from scoping, development, and testing through deployment, documentation, and ongoing monitoring - while handling ad-hoc analytical requests from internal stakeholders.
• Collaborate closely with cross-functional partners (Marketing, Product, Monetization, Data Science, Finance, Analytics, and R&D) to unlock insights and drive data-informed decision-making across the organisation.
• Follow best practices in data engineering, exploring new technologies and methodologies to keep our BI stack cutting-edge and future-proof.

Requirments:

• 5+ years of experience as a Data Engineer in a Big Data environment
• Vast experience in data modeling.
• High proficiency in SQL.
• Experience in DBT and Airflow.
• Scripting capabilities with Python - must
• Scripting capabilities with Python.
• Proficient in DWH methodologies and best practices (BigQuery/Snowflake/Redshift).
• Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, Looker etc. Looker - advantage)
• Experience working with Appsflyer data - strong advantage.
• BA/BSC degree in: Information systems / Industrial Engineering or related field required.