Staff Data Engineer

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 Staff Data 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.
• Experience with Google Cloud Platform (GCP), particularly BigQuery, including cost- and performance-optimised schema design. Experience with either Microsoft Azure or Amazon Web Services (AWS) is also fine
• Knowledge of Customer Data Platforms (Segment.io), including event stream management, identity resolution, and building a "Golden Profile" would be great, but isn't essential!
• 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. Benefits

• The opportunity to be part of something big - the world's fastest growing beauty marketplace
• Flexible working hours and opportunity to work remotely within your country
• Work in a welcoming team which is always ready to help
• Opportunity to develop in an international environment - we have teams in 6 countries
• Additional benefits that might differ depending on the location

Our Diversity and Inclusion Commitment: We work in a highly creative and diverse industry so it goes without saying that 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 any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you . Kindly submit your application and CV in English to ensure it is successfully reviewed.