Senior BI Data Engineer

23 Minutes ago • 5 Years +

Job Summary

Job Description

As a Senior BI Data Engineer at Play Perfect, you will be responsible for designing, developing, and maintaining BI assets, including data models and dashboards. You will create new data solutions while optimizing existing pipelines to improve performance and data quality. The role involves building and owning the core Marketing data stack, gathering business requirements, managing data architecture, and leading end-to-end BI initiatives. Collaboration with cross-functional partners is essential to unlock insights and drive data-informed decision-making. You will follow best practices in data engineering, exploring new technologies.
Must have:
  • 5+ years of experience as a BI Data Engineer in a Big Data environment
  • Vast experience in data modeling
  • High proficiency in SQL
  • Experience in DBT
  • Proficient in DWH methodologies and best practices
  • Experience transforming data into visual insights and building dashboards
Good to have:
  • Experience working with Appsflyer data
  • Experience working with GCP
  • Scripting capabilities with Python

Job Details

About The Position

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 BI 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, dashboards, 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.

Requirements

  • 5+ years of experience as a BI Data Engineer in a Big Data environment
  • Vast experience in data modeling.
  • High proficiency in SQL. 
  • Experience in DBT. 
  • Proficient in DWH methodologies and best practices (BigQuery - advantage)
  • 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
  • Experience working with GCP - advantage
  • Scripting capabilities with Python - advantage
  • BA/BSC degree in: Information systems / Industrial Engineering or related field required

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