Data Engineer (AI)

Location: Madrid, Spain; partially remote

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, using AI-powered insight to support smarter decisions and innovation.

What you will do

• Design and scale Retrieval-Augmented Generation (RAG) pipelines that transform unstructured IT logs and documentation into vector embeddings.
• Maintain vector databases such as Pinecone, Milvus, or Weaviate, targeting sub-second retrieval for agentic reasoning loops.
• Build knowledge graphs and semantic layers that provide contextual information for AI agents.
• Develop automated data guardrails to detect noise, bias, and personally identifiable information before data reaches models.
• Identify and resolve data-quality issues at source while connecting raw data systems with AI engineering work.
• Build, deploy, and maintain CI/CD pipelines for reliable, continuously refreshed data infrastructure.

Requirements

• Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
• Experience developing data pipelines and using tooling such as Glue, Databricks, Synapse, or Dataproc.
• Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Ability to manage multiple projects simultaneously while maintaining strong attention to detail.
• Ability to communicate with technical and non-technical colleagues and translate business needs into technical requirements.

Nice to have

• Experience as a Data Engineer and/or in cloud modernization.
• Experience in data modelling and creating conceptual models of data relationships and business-process usage.
• Professional certification, such as Open Certified Technical Specialist with Data Engineering Specialization.
• Cloud certification such as AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
• Understanding of social coding and integrated development environments, such as GitHub and Visual Studio.
• Degree in Computer Science, Software Engineering, Information Technology, or another scientific discipline.

Culture & Benefits

• Partially remote, hybrid-friendly work environment focused on well-being, inclusion, empathy, and shared success.
• Financial, mental, physical, and social well-being programs through Be Well.
• Personalized development goals, continuous feedback, coaching, and hands-on career development.
• Access to learning opportunities and certifications from Microsoft, Google, and Amazon.

Hiring process

• If referred by a hirify.global employee, select “Employee Referral” during the application and enter the referrer’s hirify.global email address.