Software Engineer, Analytics

Resilience

. Build backend features for the Research Data Platform using Python/FastAPI and PostgreSQL .

Posted 11/3/2026full-timeParis • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining backend features using Python and FastAPI, with a strong focus on data modeling and dbt for production-grade applications. Proven ability to collaborate across teams and deliver BI solutions while ensuring data quality and governance.

Highest-signal resume keywords

Python ProgrammingFastAPI DevelopmentAdvanced SQLDbt Model DevelopmentCI/CD Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIPostgreSQLSQLDbtCI/CDData ModelingContainerizationData Quality TestingGit Workflow

Soft Skills

CollaborationClear CommunicationOwnershipCuriosityDetail-Oriented

Tools & Technologies

JupyterRStudioCube.jsBusiness Intelligence ToolsAI Tools

Industry Keywords

Healthcare DataGDPR ComplianceMetrics GovernanceClinical ResearchData Accessibility

Tech Stack

Tools & technologies

DjangoFlaskJavaScriptPostgresPythonSQL

About the role

Key responsibilities & impact

Build backend features for the Research Data Platform using Python/FastAPI and PostgreSQL
Build and maintain dbt models, including business logic, tests, documentation and repository standards
Improve data reliability, usability and accessibility for clinical, research and business teams
Work with Research, Clinical and Business users to iterate quickly and deliver value
Participate in code reviews, technical design and continuous improvement of engineering standards
Support delivery of BI solutions such as dashboards and business analysis
Contribute to metrics governance through a semantic layer such as Cube.js
Automate recurring reporting, data-quality triage and source onboarding using reliable tooling and responsible AI
Collaborate with Product, Platform Engineering, Translational Research and Medical teams
Complete technical, clinical-fit, culture-fit and strategic-fit hiring stages

Requirements

What you’ll need

Ship production-grade Python, including tests, code quality, reviews and CI
Build and maintain backend APIs using FastAPI, Flask, Django or equivalent
Advanced SQL and data modeling for production dbt models
Use AI tools while maintaining strong engineering ownership
Deploy and operate applications using containers, environments and CI/CD
Implement data tests and alerting; troubleshoot data quality issues
Structured, detail-oriented approach and bias for automation
Strong collaboration across technical and non-technical partners
Pragmatism, prioritization of impact and maintainability
Ownership, autonomy and accountability
Curiosity and continuous-learning mindset
Clear communication and solution-oriented attitude
Approximately 3–5 years of experience across data and software
Experience working in a maintained codebase with Git workflow, pull requests and CI
Experience shipping production dbt models with documentation and tests
Experience contributing to self-service data tooling and enablement
Experience collaborating with product and engineering teams on data topics
Experience in contexts with high standards, including security, compliance and sensitive data
Experience with semantic layers or metrics governance is a plus
Exposure to healthcare data or GDPR-heavy environments is a plus
Experience supporting scientific users with Jupyter, RStudio or study data is a plus
English and French are explicitly addressed in the application form; French is the main spoken language and English is important for international work

Benefits

Comp & perks

Remote-friendly setup
Regular team time in Biarritz, including seminars, team meetings, surfing and hiking
Culture focused on automation and continuous improvement
Practical AI usage
Environment that values quality, standards and ownership