Requirements

What we're looking for

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.

Pay & benefits

What you'll get

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.

The role

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.

What you'll do

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...

About Booksy

Booksy is a global beauty and wellness technology platform that connects consumers with local businesses such as hair salons, barbershops, nail studios, and spas. Founded in Poland, the company has grown into a leading booking and management platform for the beauty industry, operating in multiple countries and serving millions of appointments each month. Its technology enables businesses to manage their schedules, clients, and payments, while consumers can discover and book services seamlessly.

In Spain, Booksy has a significant presence, with offices in Madrid and Barcelona, and the country is one of its key markets. The company's work culture is dynamic and data-driven, with a strong emphasis on engineering, data, and product innovation. For international professionals, Booksy offers an opportunity to work in a fast-growing tech company with a diverse, multicultural team, and the chance to contribute to a platform that is transforming the beauty industry across Europe and beyond.

Industry: Beauty Tech
Founded: 2014
Employees: 500–1,000
Headquarters: Warsaw, Poland
In Spain: Madrid, Barcelona
Website: https://jobeax.com/link/Zxnf5fg7TrGjIVr5

Good to know if you are moving

Booksy has offices in Madrid and Barcelona, offering opportunities to work in two of Spain's most vibrant cities.
The company's workforce is international, with employees from various countries, making it a welcoming environment for expats.
Booksy is a fast-growing tech company, providing opportunities for career advancement in engineering, data, and product roles.
The company offers a modern, flexible work culture with a focus on innovation and collaboration.
Booksy's platform is used by thousands of beauty professionals in Spain, giving employees direct insight into the local market.

In their own words

Additional information

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 belonging@booksy.com, so we can best support you.

Kindly submit your application and CV in English to ensure it is successfully reviewed.

All open roles at Booksy

Analytics Engineering Lead

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