Senior AI Data Engineer

Overview

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. From empowering entrepreneurs to build successful businesses, to supporting their customers arrange 'me time' moments, we're in the business of helping people thrive and feel fantastic.

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 being honest, we're probably not for you. However, if you love bringing order to chaos, inventively solving problems, and prioritizing your own path within ambiguity, then you're likely to love it here.

At Booksy, we are transforming how the beauty and wellness industry operates through intelligent automation. We aren't just looking for a Data Engineer; we are looking for someone who wants to lead the way in AI data engineering at a high growth SaaS company.

You will be the engineering powerhouse partnering directly with our Lead Data Scientists. While they focus on the "science" of the models, you will build the "engine" that powers them. This role is perfect for a technical prodigy who possesses the architectural depth of a Staff Engineer but thrives in the high‑impact execution phase of a Senior role.

• Product ionise AI:
  Bridge the gap between experimental notebooks and production‑grade AI services. Build the infrastructure to deploy, monitor, and scale bespoke models and LLMs.
• Architect LLM Pipelines:
  Design and implement RAG (Retrieval‑Augmented Generation) architectures, ensuring our LLMs have real‑time, high‑quality context from our proprietary data.
• GCP Ecosystem Mastery:
  Own the data lifecycle within GCP, utilising Big Query as our source of truth and Vertex AI for model orchestration.
• GTM Data Integration:
  Play a pivotal role in our Go‑To‑Market strategy by integrating Salesforce Data Cloud with our internal AI engines to drive hyper‑personalised user experiences.
• Collaborative Innovation:
  Work as a "two‑in‑a‑box" unit with a tenured Data Scientist to translate complex business problems into scalable technical solutions.

• Cloud Architecture:
  Extensive experience with GCP (Dataflow, Pub/Sub, Cloud Functions, .dbt).
• AI Infrastructure:
  Proven track record with Vertex AI (Feature Store, Pipelines, Model Registry).
• Data Modeling:
  Expert‑level Big Query and SQL skills, including optimising complex analytical datasets for AI consumption.
• LLM Operations (LLMOps):
  Familiarity with frameworks like Lang Chain or Llama Index and experience managing vector databases.
• The GTM Edge:
  Experience or high aptitude for Salesforce Data Cloud, specifically how to move data between CRM ecosystems and AI models to drive business growth.

Programming: Mastery of SQL and Python (specifically for data engineering and AI integration).

• This is a fully remote position. We take pride in being a globally distributed team.
• A generous holiday allowance of 26 days plus public holidays.
• Access to a global learning and development programme, wellness benefits, and discounts across partner platforms.

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 , so we can best support you.

Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call.

And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: Internet Marketplace Platforms

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