Senior Data Engineer

Summary

Join Booksy's global team and become a Senior Data Engineer, designing and implementing robust data solutions to empower data-driven decisions. You will ensure data accessibility, reliability, and governance, driving growth and innovation. This role requires 5+ years of backend and data engineering experience, proficiency in cloud technologies (ideally GCP), and expertise in tools like BigQuery and Dataflow. You'll need experience with CI/CD and infrastructure as code, a focus on data quality, and the ability to mentor others. Booksy offers flexible working hours, remote opportunities, 26+ days of holiday, professional development resources, and the chance to be part of a rapidly growing company.

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

Responsibilities

• Design and implement robust data solutions
• Ensure data is accessible, reliable, and well-governed
• Drive growth, innovation, and operational excellence at Booksy
• Mentor and support others, fostering data literacy across teams

Preferred Qualifications

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