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 arrange ‘me time’ moments, we’re in the business of helping people thrive and feel fantastic.
Working in an ever-changing, scale-up 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, if being honest, we’re probably not for you. However, if you love bringing order to chaos, inventively solving problems, and prioritising your own path within ambiguity, then you’re likely to love it here.

REQUIREMENTS

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 a complex web of 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 personalised 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, modular data models that support attribution and funnel analysis.
• Deep experience with Google Cloud Platform (GCP), particularly BigQuery, including cost- and performance-optimised 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 level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy.
At a minimum we require conversational level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy.

• 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, modular data models that support attribution and funnel analysis.
• Deep experience with Google Cloud Platform (GCP), particularly BigQuery, including cost- and performance-optimised 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