Senior Data Engineer

January 31

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Booksy

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Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

Smart Scheduling • Personal Care Industry • mobile apps • marketplaces • software development

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

📋 Description

• 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. • 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 we’re 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. • As a Senior Data Engineer reporting to the Head of Data Engineering in our Data Platform team, your purpose will be to design and implement robust data solutions, enabling our teams to make informed, data-driven decisions. • By ensuring our data is accessible, reliable, and well-governed, you’ll play a key role in driving growth, innovation, and operational excellence at Booksy.

🎯 Requirements

• 5+ years of experience in backend and data engineering, with strong system design skills. • Practical proficiency in cloud technologies (ideally GCP), with expertise in tools like BigQuery, Dataflow, Pub/Sub, or similar. • Hands-on experience with CI/CD tools (e.g., GitLab CI) and infrastructure as code. • A strong focus on data quality, governance, and building scalable, automated workflows. • Experience designing self-service data platforms and infrastructure. • Proven ability to mentor and support others, fostering data literacy across teams. • A strong understanding of schema designs and dimensional data modelling.

🏖️ Benefits

• Flexible working hours and fully remote opportunities within your country • A holiday allowance of 26 days + public holidays • Access to tools and resources that support professional development • The opportunity to be part of something big – the world’s fastest-growing beauty marketplace