Remote Analytics Data Engineer

Resilience Care

Toulouse

Hybrid

EUR 60,000 - 88,000

Full time

14 days+

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Benefits offered by this job

Remote-friendly setup

Job summary

Resilience Care is seeking a Data & Analytics Engineer to help build and scale the backend and data stack for our Research Data Platform. You will work with Python/FastAPI and PostgreSQL, maintain dbt models, and collaborate with Research, Clinical and Business teams to deliver value across self-service analytics and dashboards.

The role emphasizes automation, data quality, and responsible AI usage, with a remote-friendly setup and a small team structure that supports growth and learning.

Qualifications

  • 3–5 years in data and software (analytics engineer path)
  • Shipped production dbt models with tests and docs
  • Experience with maintained codebases (Git workflow, PRs, CI)
  • Comfort with data tooling and enabling self-serve analytics
  • Proactive ownership and collaboration with cross-functional partners

Responsibilities

  • Build backend features for the Research Data Platform (Python/FastAPI, PostgreSQL).
  • Build & maintain dbt models to ensure robust data models for self-service analytics.
  • Collaborate with researchers, clinicians, and business teams to deliver value.
  • Participate in code reviews, design discussions, and engineering standards improvements.
  • Deliver BI solutions and dashboards; contribute to metrics governance via a semantic layer.

Skills

Python development
Backend APIs
SQL data modeling
AI tooling usage
CI/CD
Data testing

Tools

PostgreSQL
FastAPI
dbt
Cube.js
Git

Job description

Resilience Care is seeking a Data & Analytics Engineer to help build and scale the backend and data stack for our Research Data Platform. You will work with Python/FastAPI and PostgreSQL, maintain dbt models, and collaborate with Research, Clinical and Business teams to deliver value across self-service analytics and dashboards.

The role emphasizes automation, data quality, and responsible AI usage, with a remote-friendly setup and a small team structure that supports growth and learning.

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