Analytics Software Engineer — Data Platform & AI

Resilience Healthcare L.L.C.; Lyon; Remote; EUR 65,000 - 90,000; Full time

Job summary

Resilience Care in Lyon, France, is seeking a skilled Analytics Engineer to build and scale the core foundations of our Research Data Platform (Python/FastAPI, PostgreSQL). You will work with clinical and business teams to deliver reliable data for analytics and decision making.

You will develop dbt models, deploy code with CI/CD, and contribute to semantic layers (Cube.js) for KPI governance while turning manual reporting into automated tooling.

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

PostgreSQL

dbt

AI tools

CI/CD

Containers

Testing

Tools

Cube.js

Git

Job description

Resilience Care in Lyon, France, is seeking a skilled Analytics Engineer to build and scale the core foundations of our Research Data Platform (Python/FastAPI, PostgreSQL). You will work with clinical and business teams to deliver reliable data for analytics and decision making.

You will develop dbt models, deploy code with CI/CD, and contribute to semantic layers (Cube.js) for KPI governance while turning manual reporting into automated tooling.