Responsibilities
* Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms
* Build robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layers
* Establish and enforce general data engineering standards and quality frameworks
* Drive continuous improvements in data infrastructure, modeling, and tooling
* Mentor junior team members and define best practices for tooling and data craft Requirements
* 4 to 6 years of experience in data engineering or analytics
* Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization)
* Advanced Python for services/pipelines (not notebook‐only analytics)
* Deep familiarity with production‐grade engineering practices, including CI/CD, test‐driven development (pytest), and leading technical code reviews
* Strong business-domain mindset for translating business data needs into efficient data architectures
* Strong collaboration skills with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders

📌 Senior Data Practitioner (Comunidad de Madrid)
🏢 Aily Labs
📍 Comunidad de Madrid