Analytics Engineer: Build Trusted Data for Self-Service

Remote Jobs; France; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Health insurance

Meal vouchers €10/day

2 weeks remote per year

Résumé du poste

Alma is looking for an Analytics Engineer to strengthen data foundations and enable self-serve analytics across Finance, Product, Marketing, Risk, and Operations. You will transform raw data into trusted datasets, contribute to governance, and collaborate with data analysts and engineers.

The role supports a hybrid model based in Paris, with full remote options in France. You will work at the intersection of Data Engineering, Data Analytics, and business teams, building scalable data assets and

Qualifications

• At least 2 years in Analytics Engineering, Data Engineering, or a similar role.
• Practical experience with dbt (models, tests, documentation).
• Understanding of data modeling concepts (facts, dimensions, keys, relationships).
• Experience with Git and PR-based development; fluent in English.

Responsabilités

• Build and maintain reusable data models, macros, and semantic layers in dbt and BigQuery.
• Develop staging, intermediate, and mart models following clear data modeling principles.
• Implement data quality tests, freshness checks, and documentation.
• Improve data lineage, ownership, and discoverability of key tables.
• Strengthen semantic layer and ensure consistent metric definitions.

Connaissances

Analytical thinking

Collaborative

English fluency

Outils

dbt

BigQuery

Looker

GCP

Argo

Git

Claude

Python

Description du poste

Alma is looking for an Analytics Engineer to strengthen data foundations and enable self-serve analytics across Finance, Product, Marketing, Risk, and Operations. You will transform raw data into trusted datasets, contribute to governance, and collaborate with data analysts and engineers.

The role supports a hybrid model based in Paris, with full remote options in France. You will work at the intersection of Data Engineering, Data Analytics, and business teams, building scalable data assets and