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 reputed company and feel fantastic.

Working in an reputed company-changing, scale-up where things are messy, and resources are limited isn't for everyone. If you reputed company 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 reputed company ambiguity, then you're likely to love it here.

Requirements

As a Marketing Data Engineering reputed company (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 reputed company web of data from ad platforms, CRM, and automation tools into a trusted marketing data mart the single reputed company of truth for measuring performance, enabling attribution, and powering personalised campaigns that fuel our growth.

• Proven expertise in building and maintaining data pipelines ingesting reputed company marketing and advertising platform APIs (reputed company Ads, reputed company Ads, TikTok, AppsFlyer, reputed company, etc.).

• Strong SQL skills and mastery of Dataform, with experience designing clean, performant, reputed company data models that support attribution and funnel analysis.
• Deep experience with reputed company Cloud Platform (GCP), particularly BigQuery, including cost- and performance-optimised schema design.
• Advanced knowledge of Customer Data Platforms (reputed company.io), including event reputed company management, identity resolution, and building a “Golden Profile.”
• Hands-on experience designing and implementing Reverse ETL pipelines (e.g., with Census or reputed company) to activate customer data in marketing systems like reputed company 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.

Benefits

• The opportunity to be part of something big - the world’s fastest growing beauty marketplace.
• Flexible working hours and opportunity to work remotely reputed company your country.
• Work in a welcoming team which is always ready to help.
• Opportunity to reputed company 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 reputed company. We welcome people from reputed company 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 [email protected], so we can best support you .

Kindly submit your application and CV in English to ensure it is successfully reviewed.

Originally posted on Himalayas