Analytics Engineer - Finance

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

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.

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

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.

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

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

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.

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.

We also believe transparency is important when deciding if you're the right fit. Mews is an ambitious, high-pressure environment of continuous learning and high standards. Success here requires resilience, adaptability and a willingness to solve difficult problems.

A few things that define how we work:

High autonomy means high responsibility. People are expected to take ownership and drive outcomes. There isn’t a detailed playbook for everything, and that’s part of what makes the work challenging – and rewarding.

Change is constant. We’re growing quickly and adapting as we scale. Teams, processes and priorities continue to evolve, and only people who stay curious and agile will thrive.

We’re remote-first, not relationship-free. Flexibility is core to how we work, but strong relationships still matter. 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. It’s not here to steal people’s jobs, but to amplify efficiency and productivity. 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.

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.

One final thing: don't hold back. If you don't meet 100% of the criteria in this job description but you're certain you could make a big impact, apply. Everyone should have equal access to opportunities, and we're committed to providing an inclusive experience.

If Mews sounds like the kind of environment where you'd thrive, we'd love to hear from you.