Papaya Global

BI/Data Engineering Manager

Tel Aviv, Israel Herzliya, Israel
Python SQL
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Description

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with a mission to revolutionize the payroll and payments industry. With over $400M raised from top-tier investors, our innovative technology provides a comprehensive solution for managing global workforces, from hiring and onboarding to managing and paying employees in over 160 countries.

We are seeking a passionate and hands-on BI\Data Engineering Manager to join our Data Department.

The BI\ Data Engineering Manager will be responsible for leading a team of BI developers\Data Engineers to deliver high-quality BI solutions that drive business insights and support strategic decision-making.

The ideal candidate will possess strong leadership skills, technical expertise in BI tools and technologies, and a proven track record of successfully managing BI projects.

Responsibilities - What you’ll be doing?

  • Lead and mentor a team of data engineers, fostering a collaborative and innovative environment.
  • Architect, own, and manage our data warehouse, ensuring data quality, integrity, and efficiency.
  • Develop and initiate advanced ETL process and data models and maintain existing ones
  • Collaborate with stakeholders across departments to gather requirements, define data strategies, and deliver clear timelines.
  • Implement best practices for data integration, transformation, modeling and storage.
  • 5+ years of experience as a BI Developer \ Data Engineer with at least 3 years in a leadership role.
  • Proficiency in developing data pipelines and ETL/ELT processes using DBT, Python etc.
  • Excellent hands-on SQL skills.
  • Proven track record in defining, managing, and delivering BI projects
  • Self-driven, motivated, independent, yet communicative and collaborative with strong analytical skills.
  • Experience with Snowflake
  • BA / BSc in Computer Science / Industrial Engineering or equivalent academic knowledge
Papaya Global
Papaya Global
Data Integration Employment FinTech Human Resources Recruiting SaaS

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