50K–65K EUR / year
Analytics Engineer - Finance
DataHybrid — Czechia, France, Spain, United Kingdom
Published on 2026-10-20
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About this role
Founding analytics engineer for Finance, responsible for building the data infrastructure and analytical capabilities needed to support operational efficiency, faster month-end close, strategic decision-making, and IPO readiness. This is a greenfield role with ownership of the Finance analytics roadmap and close collaboration with Finance leadership.
About the company
Mews builds a cloud property management platform that helps hotels run operations and improve guest experiences.
Stack
PythonDBTSQLDatabricksPower BI
What you'll do
- Build analytical features that provide actionable insights for Finance leadership
- Develop and maintain production ETL/ELT pipelines using DBT, Databricks, and SQL
- Create scalable data models and analytical solutions
- Establish data quality and testing practices
- Translate Finance requirements into technical implementations
- Promote modern data practices and continuous improvement
What we're looking for
- At least 3 years of production ETL/ELT pipeline experience
- Proficiency in SQL and Python, with DBT or an equivalent transformation tool
- Experience with Databricks or a similar cloud data platform, or ability to ramp up quickly
- Strong understanding of data modelling and analytics architecture
- Able to work autonomously and manage priorities amid ambiguity
- Strong commitment to data quality, testing, and accuracy
- AI fluency: build AI-enabled data discovery and analysis practices, while critically validating AI outputs
Nice to have
- Experience with Power BI or similar data visualisation tools
- Experience with regulated or governed data
- Experience scaling analytics in a startup or scale-up
Benefits
- Unlimited paid holiday
- Company share program
- Paid parental leave: six months for primary caregivers and two months for secondary caregivers, after one year of service
- Annual learning budget of €300, with additional budget for high performers
- Monthly personal development time
- Work-from-anywhere flexibility for a few weeks each year
- Relocation options after one year
- Flexible hybrid working