Senior Data Practitioner – Data, Analytics Engineering

Jobtailor; Madrid; Presencial; EUR 55.000 - 80.000; Jornada completa

Descripción de la vacante

Jobtailor in Madrid seeks a data engineer to lead the design and long-term ownership of multi-tenant data platforms, building robust components with Python and SQL. The role emphasizes scalable data architectures and standardization across teams, with a focus on production-grade practices.

The ideal candidate has 4–6 years of data engineering experience, expert SQL, and advanced Python skills, plus collaboration with data practitioners, scientists, engineers, and product teams to translate

Formación

• 4 to 6 years of experience in data engineering or analytics.
• Expert SQL skills for advanced modeling and optimization.
• Advanced Python for services/pipelines, not notebook analytics.
• Experience with production-grade engineering practices (CI/CD, pytest, code reviews).
• Strong business-domain mindset for translating needs into efficient data architectures.
• Strong collaboration with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and stakeholders.

Responsabilidades

• Lead design, implementation, and long-term ownership of multi-tenant data platforms.
• Build data components using Python for APIs/orchestration and SQL for transformation and normalization layers.
• Establish and enforce global 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.

Conocimientos

SQL

Python

CI/CD

Test-driven development

Code reviews

Mentoring

Data architecture

Stakeholder collaboration

Descripción del empleo

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 global 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