Analytics Engineer - Finance
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
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