At a Glance
- Tasks: Shape data infrastructure and deliver insights for Finance at a transformative tech company.
- Company: Join Mews, a leader in hospitality technology with a mission to inspire.
- Benefits: Unlimited holiday, share options, flexible work, and a generous learning budget.
- Other info: Dynamic, remote-first culture with opportunities for growth and collaboration.
- Why this job: Be the founding analytics engineer and make a real impact on the finance landscape.
- Qualifications: 3+ years in ETL/ELT, strong SQL and Python skills, and a passion for data quality.
The predicted salary is between 49500 - 55500 £ per year.
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: 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.
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.
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.
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.
What's in it for you? Our success is powered by our incredible people, supported by benefits that help them thrive.
Global benefits: Unlimited paid holiday, participation in our company share program, paid parental leave, an annual Learning budget, monthly "EDGE" time, a work from anywhere policy, relocation options, flexible, hybrid working options, a home office setup budget, and Claude tokens.
Local benefits: Additional benefits that vary by location, from healthcare and retirement plans to team events, socials and other perks.
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.
A few things that define how we work: High autonomy means high responsibility. Change is constant. We're remote-first, not relationship-free. AI is an integral part of our processes.
If there's anything we can do to support you during the application process, let us know. 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.
If Mews sounds like the kind of environment where you'd thrive, we'd love to hear from you.
Analytics Engineer - Finance in Moffat employer: Mews
At Mews, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team is made up of passionate individuals who are empowered to make impactful decisions, ensuring that every employee has the opportunity for personal and professional growth. Located in a vibrant industry, we offer unique advantages such as autonomy in your role, a commitment to meaningful work, and the chance to shape the future of hospitality technology.
