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 – Data, Analytics Engineering (Madrid)
🏢 Jobtailor
📍 Madrid