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