Hybrid Technical Data Analyst - Building Production-Grade Pipelines

MRM; Madrid; Híbrido; EUR 42.000 - 65.000; Jornada completa

Descripción de la vacante

MRM Madrid is expanding its Data team by hiring a Technical Data Analyst to transform prototypes and notebooks into production-ready services, collaborate with the Advanced Analytics team, and deliver scalable analytics solutions.

You will design robust data pipelines, optimize Python and SQL workloads, implement ETL/ELT processes with Airflow or dbt, and ensure deployment readiness with APIs (FastAPI/Flask) in a hybrid Madrid work model.

Formación

• Proficient Python for data manipulation and optimization.
• Expert SQL skills for complex data querying and modeling.
• Experience building and automating data ingestion pipelines (ETL/ELT).
• Familiarity with deployment workflows and APIs (FastAPI/Flask).
• Ability to analyze metrics and communicate insights to stakeholders.

Responsabilidades

• Technical Support & Production Deployment: Work with Advanced Analytics to transform prototypes into automated, production-ready services.
• Data Engineering & ETL/ELT: Design, optimize, and maintain robust data pipelines and ensure high-quality data availability.
• Analytical & Business Insight: Analyze objectives, perform exploratory data analysis, validate data quality, and translate findings into business insights.
• Robustness & Best Practices: Enforce software engineering standards in analytics: version control, data testing, modular development, and documentation.
• Model Monitoring: Support monitoring of variables feeding deployed models to detect data drift and maintain performance.

Conocimientos

Python data manipulation

SQL queries

Data pipeline design

Deployment workflows

Stakeholder communication

Herramientas

Airflow

dbt

Docker

Git

FastAPI/Flask

Descripción del empleo

MRM Madrid is expanding its Data team by hiring a Technical Data Analyst to transform prototypes and notebooks into production-ready services, collaborate with the Advanced Analytics team, and deliver scalable analytics solutions.

You will design robust data pipelines, optimize Python and SQL workloads, implement ETL/ELT processes with Airflow or dbt, and ensure deployment readiness with APIs (FastAPI/Flask) in a hybrid Madrid work model.