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Staff Data EngineerBooksy Inc. • London, England, United Kingdom
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Staff Data Engineer

Booksy Inc.
  • +1
  • +2
  • GB
    London, England, United Kingdom
  • +1
  • +2
  • GB
    London, England, United Kingdom
Jetzt Bewerben

Über

A career at Booksy means you’re part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting their customers in arranging 'me time' moments, we’re in the business of helping people thrive and feel fantastic. Working in an ever-changing, scale-up environment where things are messy and resources are limited isn't for everyone. If you thrive in a stable environment with big budgets, clear processes, and structures, then we’re probably not the right fit. However, if you love bringing order to chaos, inventively solving problems, and carving your own path within ambiguity, then you’re likely to love it here. As a
Marketing Data Engineering Lead (Staff Engineer)
reporting to the
Head of Data Engineering
in our
Data Engineering team , your purpose will be to design and own the technical foundation that proves and improves marketing ROI at Booksy. You’ll transform complex data from ad platforms, CRM, and automation tools into a trusted marketing data mart — the single source of truth for measuring performance, enabling attribution, and powering personalized campaigns that fuel our growth. Proven expertise in building and maintaining
data pipelines
ingesting complex marketing and advertising platform APIs (Google Ads, Meta Ads, TikTok, AppsFlyer, Iterable, etc.). Strong
SQL skills
and mastery of
Dataform , with experience designing clean, performant, and modular data models supporting attribution and funnel analysis. Deep experience with
Google Cloud Platform (GCP) , particularly
BigQuery , including cost- and performance-optimized schema design. Advanced knowledge of
Customer Data Platforms (Segment.io) , including event stream management, identity resolution, and building a “Golden Profile.” Hands-on experience designing and implementing
Reverse ETL pipelines
(e.g., with Census or Hightouch) to activate customer data in marketing systems like Iterable or CRMs. Strong collaboration skills, able to partner with architects and stakeholders to translate business needs into scalable data systems. Experience mentoring engineers and setting high standards for data quality, testing, and documentation. At a minimum, we require
conversational English language skills . Why? English is our company language and is used for all business-wide communications, so you need to be able to speak English to be an integrated part of Booksy. The opportunity to be part of something big — the world’s fastest-growing beauty marketplace. Flexible working hours and the opportunity to work remotely within your country. Work in a welcoming team always ready to help. Opportunity to develop in an international environment — we have teams in 6 countries. Additional benefits that may vary depending on location. Our Diversity and Inclusion Commitment: We operate in a highly creative and diverse industry, and we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have accessibility needs or require reasonable adjustments during the interview process, please contact us at
belonging@booksy.com , so we can support you. Please submit your application and CV in English to ensure it is reviewed successfully.
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Wünschenswerte Fähigkeiten

  • Google Cloud Platform
  • SQL
  • London, England, United Kingdom

Berufserfahrung

  • Data Engineer

Sprachkenntnisse

  • English
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