Remote Software & Analytics Engineer, Data Platform

Resilience Care; Marseille; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote-friendly setup

Job summary

Resilience Care in France is seeking a Data & Analytics Engineer to build and scale the backend and data stack for clinical and research use. You will deliver reliable data APIs, dbt models, and analytics tooling to empower teams.

Collaborate with product, research, and clinical users to ship production features, improve data quality, and automate workflows while upholding security and governance.

Qualifications

• Ship production-grade Python (tests, code quality, reviews, CI)
• Build and maintain backend APIs (FastAPI/Flask/Django or equivalent)
• Data modeling with advanced SQL to deliver production dbt models
• Use AI tools as a multiplier while keeping strong engineering ownership
• Deploy and operate what you build (containers, environments, CI/CD)
• Implement data tests/alerting and troubleshoot data quality issues

Responsibilities

• Build backend features for our Research Data Platform (Python/FastAPI, PostgreSQL)
• Build & maintain dbt models (business logic, tests, docs, repo standards) to keep the data model robust for Self-Service analytics
• Work closely with internal users (Research/Clinical/Business) to iterate fast and deliver value
• Participate in code reviews, technical design, and continuous improvement of engineering standards
• Support the team to deliver BI solutions such as dashboards and/or business analysis
• Contribute to metrics governance via a semantic layer (e.g., Cube.js) to align KPIs
• Turn recurring manual work (reporting, quality triage, source onboarding) into reliable tooling, leveraging AI responsibly

Skills

Python

FastAPI

SQL

CI/CD

Data modeling

AI tools

Containers

Education

Bachelor's degree in Computer Science

Tools

PostgreSQL

dbt

Cube.js

Job description

Resilience Care in France is seeking a Data & Analytics Engineer to build and scale the backend and data stack for clinical and research use. You will deliver reliable data APIs, dbt models, and analytics tooling to empower teams.

Collaborate with product, research, and clinical users to ship production features, improve data quality, and automate workflows while upholding security and governance.