Lead Analytics Engineer; Looker

From empowering entrepreneurs to build successful businesses to supporting their clients in arranging "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.

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, helping create clarity when things get confusing, and prioritizing your own path within ambiguity, then you'll love the opportunities available to grow your career at Booksy.

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.

Your core responsibilities will include:

• 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.

• 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 Git Lab for the semantic layer.

• 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.

• 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.

• 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, Big Query) 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 conversational analytics space is highly desirable.

• Mentorship: Proven…