Associate Data Engineering Manager
Booksy
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.
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$125.3k - $233k
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