Software Engineering Lead, eCommerce AI & Data Enablement

Location: Barcelona, Spain; hybrid

Salary: €59,600–€89,400 per year

Company

hirify.global is a global biopharmaceutical company developing medicines and vaccines and improving access to healthcare worldwide.

What you will do

• Define and execute the AI and data enablement strategy for the eCommerce, Tender Management, and B2B technology ecosystem.
• Assess data infrastructure and AI readiness, identify gaps, and build a multi-quarter roadmap balancing quick wins, foundational investments, and product goals.
• Source, onboard, and coordinate external freelance engineers and contractors while managing scope, delivery, quality, and skill alignment.
• Design scalable ETL/ELT pipelines, data warehousing, observability frameworks, data quality practices, and governance with central Data teams.
• Build and deploy production AI/ML capabilities, including LLM-based tools, RAG architectures, prompt engineering pipelines, and ML models for analytics and personalization.
• Create self-service dashboards, promote AI and data literacy, run proofs of concept, and contribute eCommerce use cases to the enterprise roadmap.

Requirements

• 7+ years of experience in data engineering, ML engineering, analytics engineering, or AI/ML technical leadership, including building data and AI systems from the ground up in complex, multi-stakeholder environments.
• Hands-on experience coordinating external contractors or consulting teams without direct reports, including scoping work, managing delivery, and ensuring quality.
• Strong depth across ETL/ELT pipelines, data warehousing, analytics, ML model development and deployment, and LLM/prompt engineering.
• Experience working effectively in a matrixed organization with centralized platform or enablement teams.

Nice to have

• Background in eCommerce, B2B platforms, or enterprise software.

Culture & Benefits

• Build a brand-new AI and data capability from scratch with broad technical ownership across pipelines and production AI systems.
• Work on LLMs, RAG, and modern data infrastructure supporting a global eCommerce ecosystem.
• Contribute to a mission-driven biopharmaceutical organization focused on improving access to medicines.
• Employee benefit programs may be available; final compensation depends on experience, skills, location, and other relevant factors.
• Equal-opportunity employment is provided regardless of protected personal characteristics.