Responsibilities

Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.

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- 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

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- 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), xqbhyrx 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