Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and maintaining scalable data infrastructure and pipelines for an AI-powered decision intelligence platform with an accent on data quality, reliability, and performance. Focus on designing end-to-end data lifecycles, optimizing workflows, and collaborating with ML and product teams to deliver actionable insights at enterprise scale.

Location: Must have the legal right to work in Spain or Germany. Hybrid role requiring 2 days per week in the office in Madrid, Barcelona, or Munich.

Company

hirify.global is a B2B SaaS company building an AI-powered decision intelligence app that transforms complex enterprise data into actionable insights.

What you will do

• Design and implement end-to-end data pipelines from ingestion to delivery.
• Build and maintain infrastructure components including streaming pipelines, transformations, and APIs.
• Implement robust data quality frameworks, monitoring, and alerting systems.
• Optimize data workflows for cost, performance, and reliability.
• Collaborate with Data Scientists, ML Engineers, and Product teams to define and refine features.
• Mentor junior team members on data engineering best practices.

Requirements

• 2–4 years of experience in data engineering or related roles.
• Must have the legal right to work in Spain or Germany.
• Strong proficiency in Python and SQL.
• Experience with modern data stack tools like dbt, Airflow, and cloud infrastructure (AWS).
• Ability to thrive in a startup environment with a proactive, problem-solving mindset.
• Strong collaboration skills to partner with cross-functional teams.

Culture & Benefits

• Hybrid work policy with 2 days per week in the office.
• Opportunity to work on a global AI-driven product.
• Collaborative environment working with diverse data domains like Finance, R&D, and Supply Chain.
• Focus on engineering excellence with code-first practices and rigorous code reviews.