Remote Staff Data Engineer

Description:

• A career at Booksy means being part of a global team focused on helping people feel great about themselves every day.
• The role is for a Marketing Data Engineering Lead (Staff Engineer) reporting to the Head of Data Engineering in the Data Engineering team.
• The purpose of the role is to design and own the technical foundation that proves and improves marketing ROI at Booksy.
• The engineer will transform complex data from ad platforms, CRM, and automation tools into a trusted marketing data mart, serving as the single source of truth for measuring performance, enabling attribution, and powering personalized campaigns.
• Responsibilities include building and maintaining data pipelines that ingest complex marketing and advertising platform APIs such as Google Ads, Meta Ads, TikTok, AppsFlyer, and Iterable.
• The role requires strong SQL skills and mastery of Dataform, with experience in designing clean, performant, modular data models that support attribution and funnel analysis.
• Deep experience with Google Cloud Platform (GCP), particularly BigQuery, is necessary, including cost- and performance-optimized schema design.
• Advanced knowledge of Customer Data Platforms (Segment.io) is required, including event stream management, identity resolution, and building a “Golden Profile.”
• Hands-on experience designing and implementing Reverse ETL pipelines to activate customer data in marketing systems like Iterable or CRMs is essential.
• Strong collaboration skills are needed 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 is expected.
• Conversational level English language skills are required for effective communication within the company.

Requirements:

• Proven expertise in building and maintaining data pipelines that ingest complex marketing and advertising platform APIs.
• Strong SQL skills and mastery of Dataform, with experience in designing clean, performant, modular data models.
• 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 and identity resolution.
• Hands-on experience designing and implementing Reverse ETL pipelines to activate customer data in marketing systems.
• Strong collaboration skills to partner with architects and stakeholders.
• Experience mentoring engineers and setting high standards for data quality, testing, and documentation.
• At a minimum, conversational level English language skills are required.

Benefits:

• The opportunity to be part of the world’s fastest growing beauty marketplace.
• Flexible working hours and the opportunity to work remotely within your country.
• Work in a welcoming team that is always ready to help.
• Opportunity to develop in an international environment with teams in 6 countries.
• Additional benefits that may differ depending on the location.