Senior AI Data Engineer at Booksy

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architecture, AI Infrastructure, Data Modeling, LLM Operations, Programming, SQL, Python, GCP, BigQuery, Vertex AI, Salesforce Data Cloud, Kubeflow, RAG Architectures, Data Integration, Analytical Datasets, AI Services

Industry

Internet Marketplace Platforms

Description

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. Productionise AI: Bridge the gap between experimental notebooks and production-grade AI services. You will 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 Google Cloud Platform (GCP), utilising BigQuery 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-personalized 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. Creating Kubeflow Pipelines We value depth of talent over years of experience. You should be an expert in: Cloud Architecture: Extensive experience with GCP (Dataflow, Pub/Sub, Cloud Functions, .dbt, Cloudrun). AI Infrastructure: Proven track record with Vertex AI (Feature Store, Pipelines, Model Registry). Data Modeling: Expert-level BigQuery and SQL skills, including optimising complex analytical datasets for AI consumption. LLM Operations (LLMOps): Familiarity with frameworks like LangChain or LlamaIndex 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). Some of the benefits we offer are: 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 program, wellness benefits, and discounts across partner platforms. Our Diversity and Inclusion Commitment: 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. Kindly submit your application and CV in English to ensure it is successfully reviewed. How AI helps us find great people 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. If you have questions, just drop us a note – we’re happy to explain more.

Responsibilities

You will build the infrastructure to deploy, monitor, and scale bespoke models and LLMs while partnering directly with Lead Data Scientists. The role involves designing and implementing RAG architectures and owning the data lifecycle within Google Cloud Platform.