Analytics Engineer

🇫🇷 Paris, Île-de-France
$6K - $9K Annual
Posted 3 days ago
Expires December 17, 2026

Alma is a leading French financial technology company specializing in installment and deferred payment solutions for merchants and consumers. With a presence in 10 European countries, Alma has empowered over 25,000 merchants and 10 million consumers, achieving more than €100 million in annual recurring revenue. The company is scaling rapidly across Europe as a member of the Next40.

The Analytics Engineer will join Alma's central Data team, which supports various business units, including Finance, Product, Marketing, Risk, and Operations. This team comprises six Data Analysts and operates at the intersection of Data Engineering, Data Analytics, and business teams. The role is based in Paris with a hybrid working model, and full remote work within France is also an option.

Key responsibilities include building and maintaining reusable data models, macros, and semantic layers in dbt and BigQuery, developing staging, intermediate, and mart models, implementing data quality tests, and improving data lineage and governance. The role also involves mentoring analysts, contributing to the data platform roadmap, participating in code reviews, and collaborating with Data Analysts, Data Engineers, and business stakeholders to deliver trusted and actionable data.

Candidates should have at least two years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar role, with practical experience in dbt, including models, tests, and documentation. A strong understanding of data modeling concepts, experience with Git and pull-request-based development, and excellent communication skills are essential. Familiarity with BigQuery, Looker, GCP, and Airflow or Argo is advantageous.

Alma offers a collaborative environment focused on improving data reliability, data literacy, and self-service analytics. The company provides opportunities to work with modern data tools, including dbt, Argo, Claude, and GCP, and encourages personal and professional growth within the central Data team.

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