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

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