Booksy connects beauty, wellness and health professionals with local customers, powering millions of appointments annually. Our vision is to be the destination for scheduling, empowering service providers to thrive and consumers to discover and book services. Consumers love Booksy, with a 4.9 app rating in the App Store & Google Play, and providers gain peace of mind when they use Booksy Biz to manage their small businesses. As a Booksy employee, you’ll join a team of 800 around the world building the fastest growing appointments marketplace. Regardless of the position you hold, you’ll make a direct impact every day helping our providers grow their businesses and build loyal client relationships in their communities. Our inclusive, remote-first team operates with a shared commitment to our values: People first: We empower and elevate the service provider, the consumer, and their communities. Act like an owner: We take responsibility for our actions and their results. Work as a team: We collaborate and care about the success of our team and others. Shoot for the moon: We have ambitious goals and overcome obstacles with tenacity. Ready to join us? Read on for more. In anticipation of increasing scale and complexity of the business we’re now looking for a Senior Data Engineer. At Booksy, Data Engineers collaborate with multi-functional agile teams to design and implement data movements. They develop and maintain the self-service infrastructure that enable domain centric teams to build data products autonomously. By ensuring that data is accessible, reliable, well-governed, and integrated, Data Engineers empower the entire organization to scale operations, innovate faster, and drive growth through informed, data-centric decisions. Your responsibilities: Building data products : Develop, maintain, and enhance data products that deliver valuable insights and drive decision-making across teams. Collaborate closely with cross-functional agile teams to understand their requirements, and ensure alignment. Dive into code and data to validate business rules and estimate complexity. Data Quality & Governance : Establish governance processes to ensure data quality across teams. Oversee governance for sensitive data, ensuring that privacy and security compliance is maintained at scale. Educate engineers through regular qualitative reviews and feedback. Domain Expertise & Data Literacy : Serve as a data expert for several domains, identifying knowledge gaps and enriching the glossary and metadata. Promote data literacy by coaching and mentoring other engineers, providing hands-on support, and offering comprehensive training. Self-Service Infrastructure : Design and implement a self-service infrastructure, enabling teams to automate data workflows. Solid understanding of how IAM works in a complex environment. Enable continuous deployment of infrastructure via CI/CD. Documentation & Support : Document the data platform in a developer-friendly way, creating clear guides, getting-started tutorials, and detailed "how-to" resources. Actively contribute to the support process by leveraging user feedback to enhance the developer experience continuously. Project Management & Stakeholder Alignment : Participate in quarterly OKR definition, helping identify dependencies, establish timelines, and provide accurate estimations. Collaborate with product managers and stakeholders to define data engineering roadmaps, ensuring alignment and clear communication throughout the process. Team Growth & Development : Contribute to the hiring process by evaluating candidates and helping build a high-performance data engineering team. Continuously coach and mentor team members to ensure collective growth and expertise. Our requirements: 5 years of experience in backend and data engineering, coupled with strong system design skills. Experienced with TDD, showing a solid understanding of the testing pyramid, and a focus on writing clean, testable code that brings value. Experience with one major cloud technology. Understand how to select and articulate data processing services such as dataplex, datastream, dataflow, google pub/sub and big query to build and govern robust data movements. Practical proficiency in CI/CD tools such as GitLab CI, especially in the context of infrastructure as code. Proficient in schema designs and dimensional data modeling. Actively seeks new solutions and approaches to improve processes and workflows. Keeps up to date with emerging technologies. Sets an exemplary standard of work that serves as a benchmark for other developers. Has a significant impact on improving the quality of other developers' work through mentorship, guidance, and feedback. Able to communicate complex ideas clearly to diverse stakeholders. Tackles complex issues creatively and assists less experienced engineers. What we offer: 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. Sounds interesting? Apply by completing the recruitment form :) We're waiting for you Booksy Team ___ About Booksy: Booksy is the largest and fastest growing booking platform that connects beauty, wellness and health professionals with local customers, powering millions of appointments each year. Booksy Biz, designed specifically for small business owners, is Boosky’s mobile-first SaaS platform that combines all the tools providers need to attract new customers, take appointments, manage staff and payments, and build a loyal client base. Booksy Biz makes running a beauty business simple, convenient and accessible so providers can focus on providing exceptional service to their customers. The Booksy Marketplace is where millions of consumers around the world find, schedule and manage appointments with stylists, barbers, braiders, nail artists, estheticians, massage therapists, salons, and spas in their communities. Customers can browse business profiles, reviews, services, pricing, availability and instantly book appointments with the click of a button. Founded in Poland in 2014, Booksy has operations in Poland, United States, United Kingdom, Spain and France and works as a distributed, remote-first team. The company has raised more than $100M in Series C funding and is backed by investors including Innovia, Kaya, and Verdane. For more information, please visit booksy.com, or follow us on LinkedIn .
