Data Engineering Specialist (AI/ML)

Location: Barcelona, Spain; hybrid work

Salary: €49,600–€74,400 per year

Company

hirify.global is a global biopharmaceutical company developing medicines and vaccines and using digital transformation, data, AI, and ML to improve healthcare outcomes.

What you will do

• Design technical solutions aligned with architectural and data standards.
• Own the backend application lifecycle, including application logic, databases, data ingestion, transformation, processing, APIs, testing, deployment, operation, and support.
• Develop and manage Python microservices, data pipelines, ETL processes, and orchestration.
• Optimize Snowflake queries, databases, and pipeline performance for reliable and timely execution.
• Set up CI/CD pipelines, automated tests, monitoring, and deployment processes.
• Mentor junior colleagues, conduct peer reviews, and collaborate on technical solution discovery.

Requirements

• 5+ years of experience in backend development, integration, data pipelines, and infrastructure.
• Bachelor’s degree in computer science, engineering, or a related quantitative field.
• Expertise in Python, PySpark, Snowpark, database optimization, and performance improvement.
• Experience with Snowflake, PostgreSQL, SQL, AWS, and cloud-based data platforms.
• Proficiency in building reliable Python APIs with FastAPI and understanding of data structures and algorithms.
• Fluent English required, written and verbal.

Nice to have

• Experience with SonarQube and K6.
• Knowledge of Kubernetes, Argo, Red Hat OpenShift, Terraform, CloudWatch, Grafana, JFrog Artifactory, GitHub Actions, JIRA, and Confluence.
• Experience with DevOps practices, infrastructure as code, monitoring, logging, and CI/CD tool maintenance.

Culture & Benefits

• Work on healthcare tools and platforms designed to improve and save lives.
• Contribute to globally deployed products combining software engineering, cloud architecture, data platforms, and AI.
• Access mentorship and training from leaders and academics in machine learning, data, and software engineering.
• Opportunities for promotion, lateral moves, and international assignments.
• Inclusive workplace with equal-opportunity employment practices.