Remote Data & Analytics Engineer

Resilience Care; Rennes; Remote; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Remote-friendly setup

Hybrid/remote options

Career growth opportunities

Job summary

Resilience Care seeks an Analytics Engineer to build and scale the data foundation, ensuring reliable, usable data for clinical, research and business teams. You’ll develop backend features for the Research Data Platform, model data with dbt, and collaborate with researchers and product staff to deliver insight with accuracy and speed.

You will contribute to automated data testing, semantic layer governance and AI‑driven tooling while maintaining strong engineering standards.

Qualifications

• Ship production‑grade Python with tests, code quality and reviews.
• 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 engineering ownership.
• Deploy and operate what you build (containers, environments, CI/CD).
• Implement data tests/alerting and troubleshoot data quality issues.
• 3–5 years across data and software (analytics engineer moving toward software).
• Shipped production dbt models with documentation and tests.
• Contributed to self‑service data tooling and enablement.
• Collaborated with product/engineering on data topics.
• Operated in GDPR‑heavy environments.

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 into reliable tooling, leveraging AI responsibly.

Skills

Python development

Backend APIs

SQL data modeling

AI tooling usage

CI/CD & containers

Data testing & quality

Education

Bachelor’s degree in CS/Data

Tools

dbt

Cube.js

PostgreSQL

FastAPI

Job description

Resilience Care seeks an Analytics Engineer to build and scale the data foundation, ensuring reliable, usable data for clinical, research and business teams. You’ll develop backend features for the Research Data Platform, model data with dbt, and collaborate with researchers and product staff to deliver insight with accuracy and speed.

You will contribute to automated data testing, semantic layer governance and AI‑driven tooling while maintaining strong engineering standards.