Finance Analytics Engineer — Build AI-Driven Data Pipelines

Mews

France

Hybride

GBP 41 000 - 48 000

Plein temps

14 jours+
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Avantages offerts par ce poste

Unlimited paid holiday
Company share program
Paid parental leave
Learning budget €300

Résumé du poste

Mews is seeking a founding analytics engineer in Finance to build data infrastructure that speeds month-end close and informs how leadership allocates capital. You’ll have a blank canvas with no legacy pipelines to untangle and no inherited playbook.

You’ll design analytics features, develop scalable ETL/ELT pipelines with DBT and Databricks, and champion data quality and testing. This is a high-visibility role with significant impact on strategic financial decisions.

Qualifications

  • Hands-on production experience building and optimising ETL/ELT pipelines (minimum 3 years).
  • Proficiency in SQL and Python, with strong experience in DBT or an equivalent modern data transformation tool.
  • Experience with Databricks or a similar cloud data platform, or willingness to ramp up quickly.
  • Demonstrated commitment to data quality, testing and accuracy, with pride in work that’s been thoroughly validated.

Responsabilités

  • 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, catching errors before they reach stakeholders.

Connaissances

ETL/ELT pipelines
SQL
Python

Outils

DBT
Databricks

Description du poste

Mews is seeking a founding analytics engineer in Finance to build data infrastructure that speeds month-end close and informs how leadership allocates capital. You’ll have a blank canvas with no legacy pipelines to untangle and no inherited playbook.

You’ll design analytics features, develop scalable ETL/ELT pipelines with DBT and Databricks, and champion data quality and testing. This is a high-visibility role with significant impact on strategic financial decisions.

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