Analytics Engineering Lead

Booksy; España; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote-friendly

Global team

International environment

Job summary

Booksy is seeking a Data Analytics Lead to own our data’s source of truth. You will guide a high-performing Analytics Engineer team, shape Looker architecture, and partner with Engineering to optimize data models in a cloud data warehouse environment.

Your role drives scalable insights across Marketing, Finance, and GTM Ops in an international, remote-first setup. You’ll mentor teammates, manage sprint priorities, and advance CI/CD pipelines, while leveraging Python and Looker APIs to automate

Qualifications

• 2+ years of experience leading or mentoring data/analytics engineers in an agile environment.
• Expertise in building enterprise semantic layers in Looker (LookML, Liquid, administration) with strong SQL.
• Hands-on with Git workflows, CI/CD pipelines, and data modeling methodologies (Kimball/Data Vault).
• Proficiency in Python to integrate with APIs and automate workflows.
• Fluent English (C1) for company-wide communication.

Responsibilities

• Lead a team of Analytics Engineers to transform raw data into actionable insights via Looker semantic layer.
• Guard Looker architecture and establish CI/CD pipelines in GitLab.
• Collaborate with Data Engineering to optimize table structures and data models.
• Partner with Marketing, Finance, and GTM Ops to translate business needs into scalable data models.
• Automate repetitive workflows using Python and Looker APIs or AI solutions.

Skills

Leadership

Looker/LookML

SQL

Python

CI/CD

Git workflows

Data modeling

Tools

Looker

Snowflake

BigQuery

Job description

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.

As the Data Analytics Lead, 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.

In this role, you’ll enjoy shaping the future of our data ecosystem by mentoring team members, managing sprint priorities, and driving a high-performance culture. You'll serve as the main guardian of our Looker architecture, establishing robust CI/CD pipelines in GitLab and partnering with Data Engineering to optimize table structures.

Additionally, you will work closely with cross-functional partners in Marketing, Finance, and GTM Ops to turn complex business needs into scalable data models, while leveraging Python, Looker APIs, or AI solutions to automate repetitive workflows.

Essentially, to ensure you succeed in this role you’re going to need…

• 2+ years of experience leading or mentoring data or analytics engineers in an agile environment, with a track record of supporting individual career growth and fostering strong feedback cultures.
• Deep expertise in building and maintaining enterprise semantic layers in Looker (LookML, Liquid, administration), supported by advanced SQL skills and hands-on experience with modern cloud data warehouses like Snowflake or BigQuery.
• An engineering-first mindset, reflected in your hands-on experience with Git workflows, CI/CD pipelines, and structured data modelling methodologies like Kimball or Data Vault.
• Practical scripting capability in Python to integrate with APIs, automate manual workflows, or explore intelligent automation solutions.

At a minimum we require fluent English language skills (C1). Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy.

It will also help you to have…

• Real-world experience migrating legacy analytics environments over to Looker, or integrating AI Agents into conversational analytics workflows.
• Strong cross-functional storytelling skills, with the ability to clearly translate intricate data trade-offs for non-technical stakeholders across GTM and Finance.
• A natural pull toward operational efficiency, clear documentation, and clean Jira workflows that bring speed and clarity to the team's output.

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.

Our Diversity & 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 [e-mail], so we can best support you.