Job Overview
Join our expert team to work on a healthcare data platform, contributing to the development of scalable and secure cloud‑native solutions. You will apply your knowledge of Python, AWS, and DevOps, modern software engineering practices, and event‑driven architectures to build high‑impact data platforms. You will collaborate in a multidisciplinary environment focused on automation, scalability, and continuous improvement.
Responsibilities
You will be responsible for design and evolution of scalable cloud‑native data platform solutions using AWS and Snowflake while developing modern microservices and event‑driven architectures. You will collaborate closely with multidisciplinary teams to improve automation, reliability and performance across the platform lifecycle. You will also contribute to architecture decisions, documentation standards and continuous improvement initiatives aligned with business objectives.
Required Qualifications
- 8+ years of experience developing software in cloud‑based data platform environments.
- Strong experience with AWS services such as ECS, Lambda, API Gateway, SQS, EventBridge and CloudFront.
- Solid expertise in object‑oriented programming and modern software architecture using Python.
- Experience building ETL/ELT pipelines using technologies such as dbt, SnapLogic or Ataccama together with Snowflake.
- Strong understanding of DevOps practices including CI/CD pipelines, Docker, Kubernetes/OpenShift and infrastructure automation.
Benefits
- Certification coverage and reward for technical achievements up to €1,400.
- Private health and travel insurance.
- Full coverage for sick leave + 1 extra day off per month without medical leave.
- Free emotional, legal, and family support.
- Gym discounts and sports compensation.
- Flexible remuneration: meals, transport, childcare, etc.
- Referral bonuses: up to €6,000 per candidate and €5,000 per client.
- 23 working days of vacation.
- Free language courses: English, Spanish, Catalan and German.
Compensation
Compensation will be discussed during the initial call.
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