Data Engineer (AI)

TL;DR

Data Engineer (AWS/Python): Designing and developing scalable end-to-end data processes and ETL pipelines with an accent on MLOps and cloud infrastructure. Focus on integrating LLMs, building agentic AI solutions, and optimizing data quality using Spark and Databricks.

Location: Hybrid, Barcelona, Spain

Company

hirify.global's Technology Delivery Center (TDC) provides cutting-edge technological solutions for local and global business units.

What you will do

• Architect and develop end-to-end scalable and secure data processes.
• Implement ETL data processing in AWS using Spark or Databricks for batch and real-time analytics.
• Build MLOps and CI/CD pipelines using Azure DevOps and Jenkins.
• Develop cloud-native microservices deployed via Docker and Kubernetes.
• Define industrialization and operational strategies for MLOps models.
• Create AI products leveraging LLMs and fine-tuning techniques.

Requirements

• 5+ years of experience with Python.
• 4+ years of Cloud Engineering experience (AWS, GCP, or Azure).
• 3+ years building multi-cloud pipelines and automated deployments (CI/CD).
• 2+ years designing and deploying distributed microservices.
• 2+ years integrating OpenAI, Anthropic, AI agents, and MCP servers.
• Experience building end-to-end backend solutions and APIs.

Culture & Benefits

• Flexible working model with an option to work abroad up to 25 days per year.
• Home office setup budget (over 300 euros) and additional monthly allowance.
• Comprehensive insurance package: health, life, and accident insurance.
• Collective Life retirement plan and stock options.
• Learning opportunities including English, German, and Spanish classes.
• Referral bonuses and exclusive employee discounts.