Because we work with sensitive health data, rigor is non-negotiable: correctness, traceability, and long-term maintainability matter as much as shipping.
You'll be the backbone of our data infrastructure, ensuring that reliable, high-quality data flows seamlessly across Resilience to support critical healthcare decisions.
Design and participate in technical choices - Shape our data architecture and review technical decisions
Collaborate with stakeholders (tech, produit, medical team) - Fetch needs, discuss solutions, and ensure smooth delivery
Solve data problems - Build robust solutions and deliver clean, tested code.
Take part in Data support rotation - Be the first responder for data issues 1 week a month.
Your manager: Julien is an experienced leader who values autonomy, technical excellence, and clear communication. He creates an environment where you can grow while solving meaningful problems in healthcare.
The little ➕ about your team: The DRE team works with every department at Resilience. You'll have a company-wide impact, solving diverse problems and collaborating across the organization. Ranging from helping our operational teams to track and improve their integration process with centers, to creating key data models for medical study management. It's a role where your work truly matters.
Write strong SQL queries and optimize database performance
Develop in Python 3.x, including building and integrating APIs
Implement testing best practices (pytest, typing, unit tests)
Communicate professionally in English (minimum B2 level - read, write, listen)
Adaptable - You can understand and navigate complex data architectures. You don't stay stuck and find solutions or ask for help if needed.
Curious and proactive - You seek to understand the "why" behind problems. You don't wait for problems to arise before you start solving them. When you're given a mission, you frame the project and anticipate potential difficulties.
A strong communicator - You explain technical concepts clearly to non-technical stakeholders.
Empathetic and collaborative - You work well with diverse teams. You understood that internal teams are like clients.
Humble - You welcome feedback and continuously improve your approach.
Worked as an intermediate-level Data/Analytics Engineer (or an excellent junior)
Self-taught developers are very welcome!
Have experience with Helm and/or Docker deployment
Know Kubernetes (K8S)
Have worked with CI/CD pipelines
Are familiar with Prefect, Airflow, or other orchestrators
Have used FastAPI, DBT, or Postgres
Speak English confidently (C1 level)
Work with meaning: In today's tech market, we know cutting-edge tech stacks aren't everything. At Resilience, you'll work on healthcare solutions that genuinely improve lives. If you're looking for purpose and impact in your daily work, this is the place.
Collaborative culture: Work with all teams across Resilience. Every relationship is built on problem-solving and mutual support.
GDPR : Your personal data will be processed for the purposes of recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. They will be available only for people involved in the process and erased after 2 years of inactivity.
Under GDPR and as Resilience attach great importance to privacy, please note that you have the right to request access to your personal data, to request that your personal data be rectified or erased. The Data Protection Officer can be contacted at privacy@resilience.care
For more information, please check our privacy policy.
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