Senior Analytics Engineer - Finance

Free resume; Deutschland; A distancia; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited paid holiday

Share option program

Paid parental leave

Learning budget €300

EDGE time

Work from anywhere

Relocation options

Flexible, hybrid options

Home office setup budget

Claude tokens

Descripción de la vacante

Mews is seeking a Senior Analytics Engineer to lead the data architecture behind our core financial workflows, including billing, regulatory reporting, and forecasting. You’ll design scalable data models, set standards for analytics delivery, and mentor other analytics engineers in a fast-growing environment.

You’ll work with a team that embraces AI to boost modeling, review processes, and ensure data quality.

Formación

• 5+ years in analytics engineering or a similar role.
• Deep, hands-on expertise with dbt, SQL and Python on a modern data platform.
• Strong grasp of pipeline orchestration and testing frameworks.
• Ability to set technical direction and mentor engineers.

Responsabilidades

• Lead the architecture and development of high-impact data models in dbt.
• Architect data solutions across financial workflows (billing, regulatory reporting, SOX, forecasting, exec reporting).
• Mentor analytics engineers and review code to uphold standards.
• Find and fix performance bottlenecks across the data stack.
• Translate business problems into clean, efficient data solutions with stakeholders.
• Set team-wide standards for documentation, CI/CD, observability and testing.
• Define where AI belongs in the workflow and ensure human oversight.

Conocimientos

dbt

SQL

Python

Data modeling

AI in data eng

Herramientas

Databricks

Descripción del empleo

Job Description

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:

We're looking for a Senior Analytics Engineer to lead the data architecture behind our most business-critical financial work: billing, regulatory reporting ( EMI ), SOX compliance, financial forecasting and executive reporting. You'll design the data solutions that finance, payments and audit teams depend on, set the standards for how analytics work ships, and mentor others on the team.

This is a shape-the-team role. You'll have real influence over how we work, what we build and the pace we move at.

We expect you to use AI fluently where it adds leverage in modeling, code review and debugging, and to apply clear judgment on where it doesn't.

Responsibilities

Lead the architecture and development of high-impact data models in dbt.

Architect data solutions across business-critical financial workflows, including billing, regulatory reporting ( EMI ), SOX compliance, financial forecasting and executive reporting.

Mentor analytics engineers and review code to uphold standards across the team.

Find and fix performance bottlenecks across the data stack.

Translate business problems into clean, efficient data solutions in close partnership with stakeholders.

Set team-wide standards for documentation, CI/CD, observability and testing.

Set the team's norms for where AI belongs in our workflow, from model development to code review, and where human oversight stays non‑negotiable.

Requirements

5+ years in analytics engineering or a similar role, with a track record of designing data models that hold up to cross-functional use.

Deep, hands‑on expertise with dbt, SQL and Python on a modern data platform (Databricks or equivalent).

Strong grasp of pipeline orchestration, testing frameworks and the practices that keep them healthy at scale.

Comfortable setting technical direction, mentoring engineers and working closely with finance, payments and audit stakeholders. You can explain a trade‑off clearly and influence the decision that follows.

You use AI hands‑on in your day‑to‑day technical work and can show specific examples of how it has changed the way you build, review or debug data models.

You catch AI's errors before anything ships, including hallucinations, overconfident answers and plausible-but-wrong code, and you have a clear sense of where human oversight stays non‑negotiable.

Spain

UK

France

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.

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 ca