Engineering Support

Help make the world more hospitable. The hospitality industry is uniquely human, and it deserves technology that’s just as inspiring as the people behind it. At Mews, we’re transforming the industry with a platform that helps hotels run smarter, move faster and create better guest experiences. You’ll enjoy a real sense of purpose as you see the impact of what we’re building.

If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here. You’ll be the founding analytics engineer in Finance, shaping our data infrastructure and analytical capabilities during a critical transformation. Your expertise in Python, DBT, SQL, and Databricks will drive operational efficiency, accelerate our month-end close, and deliver strategic insights that inform capital allocation and IPO readiness. This is a greenfield opportunity to own the analytics roadmap, work directly with Finance leadership, and build infrastructure that powers both scaling and compliance, all at a pivotal moment for Mews.

What you would do:

• Design and develop analytical features that surface actionable insights for Finance leadership.
• Build, optimise and maintain production-ready ETL/ELT pipelines using DBT, Databricks and SQL.
• Create scalable data models and analytical solutions using modern data modelling techniques.
• Build and champion data quality and testing practices; catch errors before they reach stakeholders.
• Collaborate across Finance to translate business requirements into technical implementations.
• Advocate for modern data practices and continuous improvement of the stack.

What you would bring:

• Hands-on production experience building and optimising ETL/ELT pipelines (minimum 3 years).
• Proficiency in SQL and Python; strong experience with DBT or equivalent modern data transformation tools.
• Experience with Databricks or similar cloud data platforms, or willingness to ramp quickly.
• Strong understanding of data modelling and analytics architecture.
• Comfort working autonomously and managing priorities with ambiguity; ability to break down complex problems.
• Demonstrated commitment to data quality, testing and accuracy; take pride in work that's been thoroughly validated.

AI Fluency Level 3: In this role, you’ll redesign how Finance approaches data discovery and analysis using AI—not just automating your own work, but building patterns and tools that shape how the whole team questions data and validates insights. You’ll use AI to accelerate model development and testing, but critically, you’ll actively question what it produces and know when to push back. Here, you’ll do that with AI as a core enabler.

Nice to have:

• Experience with data visualisation tools like Power BI.
• Background working with regulated or governed data.
• Experience scaling analytics in fast-growing startups or scale-ups.

Our success is powered by our incredible people, supported by benefits that help them thrive:

• Unlimited paid holiday.
• Participation in our company share program.
• Paid parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available after one year of service).
• An annual Learning budget of 300 (and more for high performers) to support your development.
• Monthly EDGE time to Explore, Develop, Grow, and Elevate yourself.
• A work from anywhere policy with flexibility to work abroad for a few weeks each year.
• Relocation options, available after one year.
• Flexible, hybrid working options.
• A home office setup budget to make your workspace your own and a monthly work-from-home allowance.
• Claude tokens, so you can automate workflows and build smarter, more efficient ways of working.

You’ll receive additional benefits that vary by location, from healthcare and retirement plans to team events, socials and other perks. We value teams that reflect the diversity of the customers and communities we serve. Teams, processes and priorities continue to evolve, and only people who stay curious and agile will thrive.

We’re remote-first, not relationship-free. Our teams are global, so we need expert collaborators and communicators to help us move forward together. AI is an integral part of our processes. We’re motivated to proactively use the technology to seek out better ways of working and share our findings with the rest of the company. We don’t discriminate on the basis of race, religion, colour, nationality, gender, sexual orientation, age, marital status, veteran status, disability or any other protected characteristic.