Apply📍 Spain
🔍 HealthTech and AI
- 5+ years of experience in DataOps, data engineering, or a similar role, preferably in a regulated industry.
- Exceptional Python programming skills focused on automation.
- Proficiency with SQL and NoSQL databases and experience in designing complex data pipelines.
- Expertise in cloud platforms (AWS, GCP, Azure) and tools like Terraform, Kubernetes, and Docker.
- Advanced understanding of data security and compliance, especially GDPR or ISO standards.
- Proven ability to work autonomously and deliver measurable results.
- Strong communication and leadership skills.
- Fluency in English.
- Lead the Design and Implementation: Architect and maintain high-performance, secure, and scalable data pipelines for AI-driven clinical workflows.
- Drive Integration: Collaborate with teams to manage the ingestion, transformation, and integration of large datasets.
- Enhance Data Quality and Compliance: Build systems to ensure data quality and regulatory compliance.
- Build and Automate: Develop reusable code and frameworks in Python to streamline data processes.
- Monitor and Troubleshoot: Proactively monitor data pipelines, resolve issues, and implement safeguards.
- Innovate: Identify and implement best practices and emerging technologies.
- Collaborate Globally: Serve as a technical expert, ensuring alignment on project goals.
AWSDockerPythonSQLETLGCPKubernetesMachine LearningAzureData engineeringNosqlTerraformComplianceData visualization
Posted 11 days ago
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