Analytics Engineer - Finance

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 work with smart, curious people who care deeply about what they do. You’ll have autonomy and the trust to make good decisions and move quickly. And 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.

About the role

Let's get into the specifics. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distil it into a job description (which we do because this is a job description), it would be this:

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. You've built processes others follow; here, you'll do that with AI as a core enabler.

• For more information on AI fluency at Mews, please refer to AI Fluency at Mews: A Comprehensive Guide for Candidates on Confluence.

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

Spain
€46.000 — €65.000 EUR

Czechia
867 000 Kč — 1 598 000 Kč CZK

UK
£49,500 — £55,500 GBP

France
$54,500 — $65,000 USD

Pay Transparency at Mews

Salary ranges are provided in good faith and reflect current market conditions and internal pay structures. Final compensation may be adjusted based on funding, budget constraints, or exceptional candidate qualifications, but will remain within reasonable proximity to the stated range.

This salary disclosure is provided in compliance with applicable pay transparency legislation. We are committed to equal pay practices and prohibit salary history inquiries during our recruitment process.

If the location you're applying from wasn't originally advertised for this role, salary range information is available upon request at any point during the application/interview process - your recruiter will be able to help.

What’s in it for you?

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

Global benefits

No matter where you’re based, you’ll enjoy:

• Unlimited paid holiday (yes, really)

• 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

Local benefits

You'll receive additional benefits that vary by location, from healthcare and retirement plans to team events, socials and other perks. Ask us about it during your interview process.

Life at Mews

We’re an equal opportunities employer. We value teams that reflect the diversity of the customers and communities we serve. Different perspectives make better ideas, stronger products and a more welcoming company.…

Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/mewssystems/analytics-engineer-finance-62319)