TL;DR

Senior Data Lead Engineer (AI): Leading the design, evolution, and operation of cloud-based Data, AI & BI platforms with an accent on scalability, security, and high-quality data products. Focus on mentoring engineering teams and delivering advanced analytics and AI use cases in a complex and large-scale environment.

Location: Hybrid position based in Málaga, Spain.

Company

%hirify_global% is an international consulting group specializing in innovation and business transformation through technology.

What you will do

Lead the Data, AI & BI roadmap, ensuring scalability, resilience, security, and cost efficiency.
Design, evolve, and operate cloud data lakehouse architectures.
Build and maintain data ingestion, ETL and transformation pipelines.
Implement and enforce data governance, data quality rules, and data guardrails.
Enable AI/ML and LLM use cases.
Act as a technical leader and mentor for data, ML and BI engineers.

Requirements

5+ years of experience in Data Engineering, Data Platforms, AI Engineering or Advanced Analytics.
Proven experience designing and building cloud data platforms and lakehouse architectures (preferably AWS).
Hands-on experience with Databricks or EMR for large-scale data processing.
Strong SQL and Python skills for data processing and automation.
Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related technical discipline.
Experience working with Agile methodologies (JIRA, Confluence).

Nice to have

AWS or Databricks certifications.
Experience with orchestration tools and CI/CD for data and ML pipelines.
Knowledge of Infrastructure as Code.

Culture & Benefits

Permanent, full-time contract.
Training and continuous career development.
Opportunity to work in a multicultural team on international projects.