O pozici
🌍 Can you help us change the world?
It’s true. At Mews, we dream big. As a Hotel Tech unicorn valued at $2.5b, we’re propelling new-generation cloud technology within global hospitality. With our industry-leading property management solution , we’re enabling the world’s most revolutionary hospitality brands to accelerate their digital transformation.
We’re on the lookout for ambitious, tenacious and passionate people who want to join the next generation of innovators and disrupt the hospitality industry with us. Sound good so far? Keep reading and tumble down the Mews rabbit hole... 🐇
🧑🏻💻 About the role
First things first: you want to know what you’re actually applying for. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distill it down to a job description (which we do because this is a job description), it would be this:
We’re hiring a Senior Analytics Engineer into our Finance & Operations data team, a highly independent team that owns its platform end to end and supports some of Mews’ most business-critical workflows.
Co budeš dělat
- Own and improve the data pipelines and infrastructure that support Pigment forecasting, budgeting and planning
- Build and shape the people data domain, including data models, platform foundations and governance patterns across secure Databricks environments
- Translate complex, often ambiguous business needs into practical technical roadmaps
- Partner closely with senior finance stakeholders, including directors and VPs, to turn requests into scalable solutions rather than one-off fixes
- Balance short-term operational needs with longer-term platform quality, maintainability and control
- Help the team reduce reliance on ad hoc firefighting and create stronger foundations for SOX compliance and IPO readiness
- Bring structure, clarity and good engineering judgement to a fast-moving, under-resourced environment
Koho hledáme
- Proven experience building and maintaining production-grade data pipelines and analytics infrastructure
- Strong hands-on capability with Databricks, SQL and Python
- A track record of working with senior non-technical stakeholders and explaining technical trade-offs in a clear, credible way
- Experience operating in scale-ups or other high-growth environments where ambiguity, pace and prioritisation are part of the job
- Strong commercial judgement and the ability to connect technical work to business outcomes
- Confidence working across both strategic projects and operationally important day-to-day work
Benefity
- We’d be particularly excited by candidates who have:
FP&A, finance or wider business planning experience
Worked on systems or pipelines connected to forecasting, budgeting or financial reporting
Built data models or platforms that support business-critical reporting and decision-making
Experience bringing order, governance and sustainability to environments that are still maturing
Comfort using AI
