Staff Data Engineer - Finance / Customer Data

At Booksy, we are moving beyond traditional ETL. We are building a high-integrity, Zero Copy data ecosystem where BigQuery serves as the immutable "Source of Truth" for Finance, and Salesforce Data Cloud serves as the "Live Record" for our Sales, Marketing, and CX teams. As the Customer Staff Engineer, you will own the bridge between these two worlds. You will ensure that every dollar reported to our Board of Directors reconciles perfectly with the customer activity seen on the front lines, all while supporting Data Scientists to leverage Vertex AI to turn that data into predictive growth. What You Will Do • Architect the "Zero Copy" Future: Lead the implementation of data sharing between BigQuery and Salesforce Data Cloud. You will ensure we "connect, not collect," reducing latency and storage costs. • Own Financial Integrity: Partner with the VP FP&A to build BigQuery models that serve as the definitive source for ARR, LTV, and Churn. You will ensure these models handle complex logic like refunds, currency normalization, and mid-month plan changes. • Build the Customer 360: Create a unified identity graph that links internal provider IDs, Stripe IDs, and Salesforce Account IDs to provide a 360-degree view of the Booksy partner. • Data Quality & Fraud Defense: Develop automated systems to identify and filter "Invalid Businesses" (bots and bad actors) to ensure our AI models and financial reports remain untainted. • AI Enablement: Design and maintain the feature engineering pipelines in Vertex AI that power our predictive models for customer health and retention. • Governance & Mentorship: Define the standards for "Official" vs. "Operational" reporting. Mentor senior engineers and advocate for a culture of data observability and high-integrity engineering. Who You Are • The Architect: You have deep experience with Google BigQuery and are an expert in modern data sharing (Zero Copy / Federated Queries). Experience with Salesforce Data Cloud (formerly Genie) is a massive plus. • The "CFO's Best Friend": You don't just write SQL; you understand business logic. You know why a "Booking" is an operational metric but a "Successfully Processed Payment" is a financial one. • Semi-Structured Specialist: You are comfortable handling massive volumes of JSON event data, knowing exactly how to model a lean schema for performance at scale. • Systems Thinker: You look at the "Identity Map" and see the backbone of the company. You care about data lineage and how a change in the billing system ripples down to a Sales rep's dashboard. Staff-Level Leader: You have a track record of leading cross-functional projects that involve stakeholders from Finance, Sales, and Engineering. You can explain complex architectural trade-offs to non-technical executives. 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. • 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 [email protected], so we can best support you . Kindly submit your application and CV in English to ensure it is successfully reviewed. How AI helps us find great people Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role – but don’t worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application – it won’t affect your chances in any way. If you have questions, just drop us a note – we’re happy to explain more. Original job Staff Data Engineer - Finance / Customer Data posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs. Apply tot his job