Associate Data Engineering Manager

From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange '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.

For our providers, our products offer services for getting booked, paid, and building a loyal client base. For their clients, we’re where they can find their favourite spots, discover new businesses and book appointments in an instant.

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

The people you’ll like to work with and things you'll enjoy impacting:

As an Associate Data Engineering Manager reporting to the Head of Data Engineering in our Data & Analytics - Data Engineering team, your purpose will be to lead a small team of 2-4 talented data engineers while remaining technically hands-on.

You’ll spend about half of your time helping your team grow, running agile ceremonies (like sprint planning and retros), and owning your team's quarterly OKRs. The other half of your time will keep you close to the technology - designing, building, and reviewing high-quality dbt models and pipelines on BigQuery to ensure our data is reliable, performant, and ready for action.

Requirements

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

• Proven Data Engineering Foundation: 5+ years of hands-on experience in data engineering, coupled with initial leadership experience (such as tech leading, mentoring, or guiding small groups).
• Modern Data Stack Expertise: Production-level experience designing and reviewing dbt models and data pipelines hosted on Google Cloud BigQuery .
• Core Development Skills: Expert-level SQL skills and strong Python scripting capabilities for pipeline orchestration (e.g., using Airflow or Cloud Composer).
• Agile & Delivery Mindset: Practical experience running agile ways of working and a natural drive to take ownership of delivery commitments.
• English Fluency: At a minimum, we require professional English language skills (B2 level or higher). Why? English is our company language and is used for any business-wide communications, so we need you to be able to communicate smoothly to feel like an integrated part of Booksy.

Benefits

It will also help you to have…

• Infrastructure as Code: Basic familiarity with Terraform to manage cloud-based data assets.
• Next-Gen Tech Exposure: Familiarity with PySpark and open table formats like Apache Iceberg or Delta Lake .
• AI-Assisted Workflows: Experience utilizing tools like Cursor or Claude in your daily engineering tasks to boost productivity and code quality.

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.