ph3Responsibilities /h3 ul liLead the design, implementation, and long-term ownership of complex, multi-tenant data platforms /li liBuild robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layers /li liEstablish and enforce integral data engineering standards and quality frameworks /li liDrive continuous improvements in data infrastructure, modeling, and tooling /li liMentor junior team members and define best practices for tooling and data craft /li /ul h3Requirements /h3 ul li4 to 6 years of experience in data engineering or analytics /li liExpert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization) /li liAdvanced Python for services/pipelines (not notebook‑only analytics) /li liDeep familiarity with production‑grade engineering practices, including CI/CD, test‑driven development (pytest), and leading technical code reviews /li liStrong business-domain mindset for translating business data needs into efficient data architectures /li liStrong collaboration skills with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders /li /ul /p #J-18808-Ljbffr

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