Remote Analytics Engineer - Backend & Data Platform

Resilience Care; Nice; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Remote-friendly setup

Résumé du poste

Resilience Care is seeking a Data & Analytics Engineer to join the Data & Analytics team in France. You will build backend features for our Research Data Platform, maintain dbt models, and collaborate with researchers and business teams to deliver reliable analytics.

The role emphasizes automation, AI-enabled tooling, and strong data governance in a hybrid, remote-friendly setup. You will work across data engineering and clinical research domains, contributing to dashboards and semantic layers

Qualifications

• 3–5 years in data and software, analytics engineer moving toward software.
• Shipped production dbt models with tests and docs.
• Experience with self‑service data tooling and enablement.
• Collaborated with product/engineering teams on data topics.
• Familiarity with security and GDPR in data work.

Responsabilités

• Build backend features for the Research Data Platform (Python/FastAPI, PostgreSQL).
• Build & maintain dbt models to keep the data model robust for Self‑Service analytics.
• Work closely with internal users to iterate fast and deliver value.
• Participate in code reviews, technical design, and engineering standards improvement.
• Support BI solutions such as dashboards and business analysis.
• Contribute to metrics governance via a semantic layer (Cube.js).
• Turn recurring manual work into reliable tooling, leveraging AI.

Connaissances

Python

Backend APIs

Advanced SQL/dbt

AI tools usage

Containers/CI–CD

Data quality testing

Outils

dbt

Cube.js

LookML

Jupyter

Description du poste

Resilience Care is seeking a Data & Analytics Engineer to join the Data & Analytics team in France. You will build backend features for our Research Data Platform, maintain dbt models, and collaborate with researchers and business teams to deliver reliable analytics.

The role emphasizes automation, AI-enabled tooling, and strong data governance in a hybrid, remote-friendly setup. You will work across data engineering and clinical research domains, contributing to dashboards and semantic layers