Analytics Engineer — Build Trusted Data Foundations (Remote)

Greenhouse Software, Inc.; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Health insurance

Disability insurance

Remote/Hybrid flexible options

Meal vouchers

Learning & Development platform

Résumé du poste

Alma is seeking an Analytics Engineer to strengthen data foundations across Finance, Product, Marketing, Risk, and Operations. You will join a six-person Data Analytics team and work at the intersection of Data Engineering, Data Analytics, and business teams.

You will transform raw data into trusted datasets to support reporting, analytics, and decision-making. You will improve lineage, governance, and the semantic layer to enable self-service and reliable analytics for the business.

Qualifications

• 2+ years in Analytics Engineering, Data Engineering, or similar role.
• Proficiency with dbt including models, tests, and documentation.
• Understanding of data modeling concepts: facts, dimensions, keys, relationships.
• Experience with Git and PR-based development; strong collaboration and communication; fluent in English.

Responsabilités

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

Connaissances

Analytics engineering

dbt

Data modeling

Git & PRs

English fluency

Outils

dbt

Looker

BigQuery

GCP

Airflow

Argo

Python

Description du poste

Alma is seeking an Analytics Engineer to strengthen data foundations across Finance, Product, Marketing, Risk, and Operations. You will join a six-person Data Analytics team and work at the intersection of Data Engineering, Data Analytics, and business teams.

You will transform raw data into trusted datasets to support reporting, analytics, and decision-making. You will improve lineage, governance, and the semantic layer to enable self-service and reliable analytics for the business.