Booksy

From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange 'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic. Lifting others up can be hard, heavy work, and we passionately believe that the sense of purpose and personal satisfaction this brings are worth it. What started in Poland is now an international, cloud-based marketplace that’s scaling rapidly. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities. For our providers, our products offer services for getting booked, paid, and building a loyal client base. For their clients, we’re where they can find their favourite spots, discover new businesses and book appointments in an instant. Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy. The people you’ll like to work with and things you'll enjoy impacting:**As a Data Platform Engineer reporting to the Data Platform Engineering Manager in our Data & Analytics - Data Platform Engineering team, your purpose will be to build and maintain the foundational cloud infrastructure that powers data at Booksy. You’ll act as an enabler for our data engineering and analytics teams, prioritizing reliability, automation, and self-service. From developing GCP infrastructure using Terraform to optimizing CI/CD workflows and managing our Cloud Composer/Airflow scheduler, you will directly influence how safely and efficiently we scale our data ecosystem.

Role Description As a Data Platform Engineer reporting to the Data Platform Engineering Manager in our Data & Analytics - Data Platform Engineering team, your purpose will be to build and maintain the foundational cloud infrastructure that powers data at Booksy. - Act as an enabler for our data engineering and analytics teams, prioritizing reliability, automation, and self-service. - Develop GCP infrastructure using Terraform. - Optimize CI/CD workflows and manage our Cloud Composer/Airflow scheduler. - Directly influence how safely and efficiently we scale our data ecosystem. Qualifications - 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering. - Solid skills building and maintaining Terraform modules (Terragrunt is a plus) on Google Cloud Platform or another major cloud vendor. - Robust Python scripting abilities and strong SQL skills. - Experience managing containerized environments (Docker, Kubernetes/GKE). - Practical experience designing and optimizing automated release pipelines using GitLab CI. - Professional English language skills (B2 level or higher). Requirements - Experience administering Google BigQuery datasets, permissions, and performance. - Exposure to PySpark and open table formats like Apache Iceberg or Delta Lake. - Curiosity or experience with AI-assisted developer tools and LLM observability (such as Langfuse). Benefits - Remote-first work environment with office access depending on the market. - Additional benefits that may differ depending on the location. - Work in a welcoming team which is always ready to help. - Opportunity to develop in an international environment - we have teams in 6 countries.

• As an Associate Data Platform Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Platform Engineering team, your purpose will be to lead a small, high-impact team of 2-3 platform engineers while staying heavily involved in hands-on technical work. • You’ll split your time between people leadership - coaching your team, driving agile delivery, and managing OKRs - and engineering tasks. • You will design reliable Terraform/Terragrunt modules on GCP, champion data security controls (Dataplex, DLP), and establish standard, self-service developer tools that empower our downstream data teams to build with confidence.

Role Description As an Associate Data Platform Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Platform Engineering team, your purpose will be to lead a small, high-impact team of 2-3 platform engineers while staying heavily involved in hands-on technical work. - Split your time between people leadership - coaching your team, driving agile delivery, and managing OKRs - and engineering tasks. - Design reliable Terraform/Terragrunt modules on GCP. - Champion data security controls (Dataplex, DLP). - Establish standard, self-service developer tools that empower our downstream data teams to build with confidence. Qualifications - 5+ years of experience in data platform, infrastructure, or DevOps engineering, with initial experience leading, mentoring, or managing tech teams. - Deep, practical experience using Terraform/Terragrunt to architect and manage infrastructure, preferably on Google Cloud Platform. - Strong familiarity with GCP data services (BigQuery, Cloud Composer, GKE, IAM) and CI/CD pipelines (GitLab CI, Docker, Kubernetes). - A strong focus on customer enablement, platform reliability, system governance, and security. - Professional English language skills (B2 level or higher). Requirements - An open-source-first mindset when researching, evaluating, or building internal platform tools. - Exposure to PySpark and open table formats (Apache Iceberg or Delta Lake). - Experience or strong interest in applying AI-assisted development tools (Cursor, Claude) and monitoring LLM-driven pipelines. Benefits - Remote-first work environment with office access depending on the market. - Additional benefits that might differ depending on the location. - Work in a welcoming team which is always ready to help. - Opportunity to develop in an international environment - we have teams in 6 countries. Company Description We are in the business of elevating people - helping them to thrive and feel fantastic. What started in Poland is now an international, cloud-based marketplace that’s scaling rapidly. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities.

Role Description As a Mid Software Engineer reporting to the Engineering Manager in our Product Development team, your purpose will be to design, build, and maintain scalable, high-quality systems that empower beauty professionals worldwide. You’ll work on new features, optimise system performance, and shape the architecture to support our growing platform. You’ll collaborate with product managers, designers, and engineers to craft solutions that solve real-world problems for millions of users while driving innovation and continuous improvement in our codebase. Qualifications - Proficiency in Python. - Strong database management experience with PostgreSQL. - Expertise in writing comprehensive test suites and using automated testing frameworks. - Experience designing and implementing scalable architectures (microservices, event-driven systems). - Familiarity with Docker and building CI/CD pipelines. - Conversational-level English language skills. Requirements - A passion for mentoring and guiding other developers. - Experience with observability practices (logging, monitoring, and alerting). - Continuous learning mindset to stay updated with new technologies. Benefits - This is a fully remote position, we take pride in being a globally distributed team. - Private medical care - terms depend on location. - Access to wellbeing tool - Worksmile. - Other benefits will vary due to your location; please ask your talent partner for more detail.

• Lead a small team of 2-4 talented data engineers while remaining technically hands-on. • Spend about half of your time helping your team grow, running agile ceremonies (like sprint planning and retros), and owning your team's quarterly OKRs. • Design, build, and review high-quality dbt models and pipelines on BigQuery to ensure our data is reliable, performant, and ready for action.

Role Description As an Associate Data Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Engineering team, your purpose will be to lead a small team of 2-4 talented data engineers while remaining technically hands-on. - You’ll spend about half of your time helping your team grow, running agile ceremonies (like sprint planning and retros), and owning your team's quarterly OKRs. - The other half of your time will keep you close to the technology - designing, building, and reviewing high-quality dbt models and pipelines on BigQuery to ensure our data is reliable, performant, and ready for action. Qualifications - Proven Data Engineering Foundation: 5+ years of hands-on experience in data engineering, coupled with initial leadership experience (such as tech leading, mentoring, or guiding small groups). - Modern Data Stack Expertise: Production-level experience designing and reviewing dbt models and data pipelines hosted on Google Cloud BigQuery. - Core Development Skills: Expert-level SQL skills and strong Python scripting capabilities for pipeline orchestration (e.g., using Airflow or Cloud Composer). - Agile & Delivery Mindset: Practical experience running agile ways of working and a natural drive to take ownership of delivery commitments. - English Fluency: At a minimum, we require professional English language skills (B2 level or higher). Requirements - Infrastructure as Code: Basic familiarity with Terraform to manage cloud-based data assets. - Next-Gen Tech Exposure: Familiarity with PySpark and open table formats like Apache Iceberg or Delta Lake. - AI-Assisted Workflows: Experience utilizing tools like Cursor or Claude in your daily engineering tasks to boost productivity and code quality. Benefits - We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. - Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists. - Work in a welcoming team which is always ready to help. - Opportunity to develop in an international environment - we have teams in 6 countries.

Role Description As the Lead Analytics Engineer (Looker), reporting into the Analytics Manager, you will be the primary architect of our data’s "source of truth." You will lead a team of high-performing Analytics Engineers dedicated to transforming raw data into actionable insights through a sophisticated Looker semantic layer. This is a hybrid role requiring both technical mastery and strategic leadership. You will act as the bridge between Data Engineering (infrastructure), Data Analysts, and our Corporate, Marketing, CS, Sales, and GTM Ops Teams (consumers), ensuring our data models are scalable, automated, and governed by rigorous CI/CD practices. Your mission is to eliminate manual toil and empower the organisation with true self-service capabilities. - People Leadership & Development: - Mentorship & Coaching: Lead the AE team, drive a high-performance culture, and support individual career growth. - Performance Management: Drive regular 1-on-1s, give constructive feedback, and handle performance reviews. - Resource Planning: Manage team capacity and sprint priorities, balancing tech debt with stakeholder needs. - Talent Growth: Help with recruitment and make sure new joiners have a smooth onboarding. - Semantic Architecture & Governance: - Own the Layer: Lead the design, development, and maintenance of centralised Looker semantic models (LookML). - Guardianship: Act as the "Gatekeeper" for Looker, enforcing coding standards, modularity, and performance optimisation. - CI/CD Implementation: Establish and manage robust version control and deployment pipelines in GitLab for the semantic layer. - Cross-Functional Collaboration: - Upstream Influence: Partner with Data Engineering to define table structures and schemas that optimize for downstream analytical performance. - Downstream Empowerment: Translate the business needs of Corporate, Marketing, CS, Sales, and GTM Ops Analysts into scalable data models. - Automation & Efficiency: - Scale the Team: Identify manual workflows and automate them using Python scripts, API integrations (Looker API), or Agentic AI. - Operational Excellence: Modernise the team’s workflow by co-creating and enforcing a disciplined Jira ticketing structure to ensure transparency and velocity. Qualifications - Looker Mastery: Expert-level knowledge of Semantic Layer, LookML, Liquid, and Looker administration. Experience with Looker API is a huge plus. Prior experience with migrating from another tool to Looker is highly advantageous. - The Modern Data Stack: Proficiency in SQL (advanced window functions, optimisation) and experience with cloud data warehouses (e.g., Snowflake, BigQuery) as well as at least intermediate knowledge of dbt. - Engineering Mindset: Strong understanding of Git workflows, CI/CD principles, and data modelling methodologies (Kimball, Data Vault, etc.). - Scripting: Ability to write Python to automate workflows or interact with APIs. Prior experience with AI Agents within the conversational analytics space is highly desirable. - Mentorship: Proven experience leading or mentoring a team of engineers in an agile environment. - Communication: The ability to explain complex technical trade-offs to non-technical stakeholders in Marketing or Finance. - Process-Oriented: A passion for documentation, Jira hygiene, and building repeatable processes. Benefits - We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. - Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists. - Work in a welcoming team which is always ready to help. - Opportunity to develop in an international environment - we have teams in 6 countries.

• You'll design and implement a global L&D strategy that aligns perfectly with our business goals and customer success mission. • You'll lead and mentor a team of talented trainers and QA specialists, fostering their growth while they drive team excellence. • You'll build scalable learning frameworks, including certification paths and learning academies, to ensure our knowledge grows as fast as we do. • You'll turn data into action by analyzing QA trends and CSAT feedback to refine training content and provide targeted coaching insights to leadership. • You'll collaborate across the globe, partnering with Product, Sales, and Ops leaders to identify capability gaps and translate them into impactful training plans. • You'll own the metrics, reporting on how your initiatives directly improve team performance, from CSAT to overall efficiency.

Role Description You’re a strategic thinker who isn't afraid to roll up your sleeves to build something great. As our CS Learning & Development Manager, you’ll be the architect of a high-performing, customer-centric culture, designing and scaling programs that enable our teams to perform at their absolute best. This role is a unique blend of creative program design and data-driven quality assurance, ideal for someone passionate about driving excellence through knowledge, feedback, and accountability. How you’ll make an impact: - Design and implement a global L&D strategy that aligns perfectly with our business goals and customer success mission. - Lead and mentor a team of talented trainers and QA specialists, fostering their growth while they drive team excellence. - Build scalable learning frameworks, including certification paths and learning academies, to ensure our knowledge grows as fast as we do. - Turn data into action by analyzing QA trends and CSAT feedback to refine training content and provide targeted coaching insights to leadership. - Collaborate across the globe, partnering with Product, Sales, and Ops leaders to identify capability gaps and translate them into impactful training plans. - Own the metrics, reporting on how your initiatives directly improve team performance, from CSAT to overall efficiency. Qualifications - Provable, deep expertise and experience in Learning & Development, Quality Assurance, or Enablement (preferably within a SaaS or Customer Success environment). - A "People First" leadership style with a track record of building and scaling global training or QA programs. - Strong analytical grit, with the ability to use data and reporting to drive continuous improvement and show real impact. - Excellent communication and facilitation skills, allowing you to influence and inspire teams across different regions. - Technical curiosity, with hands-on experience leveraging LMS platforms and QA software to drive learning at scale. - An adaptable, "Shoot for the Moon" mindset—you’re comfortable in a fast-paced environment and ready to find a way through any obstacle. Benefits - Remote work with flexible work schedules. - Remote work with $50/month home phone/internet reimbursement. - Comprehensive health, dental, and vision coverage with UHC. - Company paid STD and LTD, and Basic Life Insurance at 1x salary up to $250,000. - FSA/HSA's available - Booksy contributes $1,000/$2,000 for employee/employee plus. - Accident/Hospital/Critical Illness voluntary plans available. - 401k - 50% match up to 8% of contributions paid annually/ 3-year vesting period. - PTO - Exempt employees - unlimited with manager approval. Non-exempt employees - 160 hours/year (does not roll over). - 12 Holidays observed. - Parental Leave - 12 weeks of paid leave. - EAP (Employee Assistance Program). - Voluntary Pet Insurance through Fetch. - Financial wellness tools through SoFi and Ladder. - Discounts via Perkspot. - Booksy benefit $50 per month to use on services in our app. Company Description Working in a rapidly growing and evolving company comes with its own set of opportunities and challenges. If you prefer a stable environment with clear, rigid processes and structures, then we’ve got to be honest—you won't always find that here. However, if you’re a driven self-starter who loves creating order out of chaos and prioritizing your own path within ambiguity, then you'll likely love it at Booksy. 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 belonging@booksy.com so we can best support you.