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# Senior Data Practitioner - Data, Analytics Engineering

- **Company:** Jobtailor
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Python (Programming Language), Query Optimization, Standard Sql, SQL Databases, Pytest, Data Management
- **Published:** July 31, 2026
- **Apply:** https://www.buscojobs.com.es/senior-data-practitioner-data-analytics-engineering-en-madrid-ID-364331627

## About the Role

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), xcskxlj 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
#J-*****-Ljbffr

## Description

ResponsibilitiesPresente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.Lead the design, implementation, and long-term ownership of complex, multi-tenant data platformsBuild robust data components using advanced Python for APIs/orchestration and expert SQL for transformation and normalization layersEstablish and enforce global data engineering standards and quality frameworksDrive continuous improvements in data infrastructure, modeling, and toolingMentor junior team members and define best practices for tooling and data craftRequirements4 to 6 years of experience in data engineering or analyticsExpert 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), xcskxlj and leading technical code reviewsStrong business-domain mindset for translating business data needs into efficient data architecturesStrong collaboration skills with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders#J-*****-Ljbffr


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