> Markdown version of [/jobs/ext/2340384-analytics-software-engineer](https://www.wearedevelopers.com/jobs/ext/2340384-analytics-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Software Engineer - **Company:** Resilience Care - **Location:** Paris, France - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Business Logic, Software Quality, Code Review, Continuous Integration, Data Warehousing, Django Web Framework, Python (Programming Language), PostgreSQL, RStudio, Sql Optimization, Flask (Web Framework), Jupyter, Backend, Git, Fastapi, Data Layers, Data Analytics, Data Management - **Published:** August 26, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=95fa8f29102c0d2a ## About the Role + A structured, detail-oriented approach and a bias for automation. + Strong collaboration skills across technical and non-technical partners. + Pragmatism: prioritizing impact and maintainability. + Ownership, autonomy and accountability. + Curiosity and a continuous-learning mindset. + Clear communication and a solution-oriented attitude. * You are the right person if you have already: + ~3-5 years across data and software (typical path: analytics engineer moving toward software). + Worked in a maintained codebase (Git workflow, PRs, CI). + Shipped production dbt models with documentation and tests. + Contributed to self-service data tooling and enablement. + Collaborated with product/engineering teams on data topics. + Operated in a context with high standards (security, compliance, sensitive data). * It's a plus if you: + Have experience with semantic layers / metrics governance (Cube.js, LookML, dbt Semantic Layer…). + Have exposure to healthcare data or other GDPR-heavy environments. + Have supported scientific users (Jupyter, RStudio, study data). ## Description In a nutshell: You join the Data & Analytics team to build and scale key technical foundations (backend + modern data stack) so data is reliable, usable and accessible for clinical, research and business teams. Your impact: Increase delivery speed and trust in insights by improving automation, quality and documentation-and by ensuring metrics are consistently defined and reused. Your day-to-day: * 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., She recently joined the team and is already growing fast on our stack and data model. She'll be your closest day-to-day teammate, and part of the deal is that the three of us level each other up. * Your manager: Jean-Baptiste - Analytics Lead "We'll work together closely: my role is to find technical solutions with the Product and Platform engineering teams to answer data-related business problems, and I stay a hands-on contributor - you won't be alone in the code. I value relationships built on honesty and trust, and I really enjoy working with curious people who are always eager to learn and to help. I'm based in Biarritz and have a lot of fun doing triathlon" * Team's extra: A small team of three, with direct exposure to product, research and clinical questions. Regular team time in Biarritz - seminars, team meetings, surfing, hiking and every possible Basque country cliché., + 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. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)