Data Platform Engineer

🔥 12 hours ago

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Logo of Booksy

Booksy

51 - 200 employees

Founded 2013

💄 Beauty

🧘 Wellness

☁️ SaaS

💰 $70M Series C on 2021-01

Beauty • Wellness • SaaS

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.

📋 Description

• 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.

🎯 Requirements

• Essentially, to ensure you succeed in this role you’re going to need… • - Foundational Platform Experience: 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering. • - Infrastructure as Code (IaC): Solid skills building and maintaining Terraform modules (Terragrunt is a plus) on Google Cloud Platform or another major cloud vendor. • - Software & Orchestration Skills: Robust Python scripting abilities, strong SQL skills, and experience managing containerized environments (Docker, Kubernetes/GKE). • - CI/CD Expertise: Practical experience designing and optimizing automated release pipelines using GitLab CI. • - English Fluency: At a minimum, we require professional English language skills (B2 level or higher). Why? English is our company language and is used for any business-wide communications, so we need you to be able to communicate smoothly to feel like an integrated part of Booksy. • **It will also help you to have… • - Warehouse Administration: Experience administering Google BigQuery datasets, permissions, and performance. • - Modern Architecture Trends: Exposure to PySpark and open table formats like Apache Iceberg or Delta Lake. • - Emerging AI & Observability: Curiosity or experience with AI-assisted developer tools and LLM observability (such as Langfuse).

🏖️ Benefits

• Some of the benefits we offer are: • - 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. All we ask is that you're based in the country/region this role is advertised in. • - 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.

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