Associate Data Platform Engineering Manager

🕒 July 20

🌐 United Kingdom, Spain, +1 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 55%

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Logo of Booksy

Booksy

51 - 200 employees

Founded 2013

💼 Consulting

📦 Logistics

📣 Marketing

💰 $70M Series C on 2021-01

Consulting • Logistics • Marketing

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

• Lead a small, high-impact team of 2–3 platform engineers • Report to the Head of Data Engineering within the Data & Analytics – Data Platform Engineering team • Coach team members and drive agile delivery • Manage OKRs • Perform hands-on engineering work • Design reliable Terraform/Terragrunt modules on GCP • Champion data security controls including Dataplex and DLP • Establish standard, self-service developer tools • Empower downstream data teams to build with confidence

🎯 Requirements

• 5+ years of experience in data platform, infrastructure, or DevOps engineering • Initial experience leading, mentoring, or managing technical teams • Deep practical experience with Terraform/Terragrunt for infrastructure architecture and management • Preferably experience with Google Cloud Platform • Strong familiarity with GCP data services: BigQuery, Cloud Composer, GKE, and IAM • Experience with CI/CD pipelines, GitLab CI, Docker, and Kubernetes • Platform-as-a-Product mindset focused on customer enablement, platform reliability, system governance, and security • Professional English language skills at B2 level or higher • Open-source-first mindset • Exposure to PySpark and open table formats such as Apache Iceberg or Delta Lake • Experience or strong interest in AI-assisted development tools such as Cursor and Claude • Experience or strong interest in monitoring LLM-driven pipelines • Application and CV must be submitted in English

🏖️ Benefits

• Remote-first work, with office access or fully remote depending on the market • International environment with teams in 6 countries • Welcoming, supportive team • Accessibility support and reasonable interview adjustments

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