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 integral 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
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📌 Senior Data Practitioner – Data, Analytics Engineering (Madrid)
🏢 Jobtailor
📍 Madrid