Quant Risk IT Engineer: Data Platforms & DevOps (Hybrid)

BME | Bolsas y Mercados Españoles; Madrid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model up to 40% WFH

Daily meal allowance

Medical Insurance for employee and fam

Pension fund

Descripción de la vacante

SIX Clearing is looking for an IT Application Analyst to join our Financial Quantitative Risk Management team in Spain. You will focus on IT engineering, data platforms, and operational excellence to ensure robust, scalable data and infrastructure in a mission-critical environment.

You will design and optimize SQL Server databases, build Python ETL pipelines, manage market data flows, and support DevOps practices with Git and Docker to sustain accurate risk calculations and resilient platforms.

Formación

• 2–3 years in IT engineering / data platforms / infra.
• Advanced SQL Server expertise (data modeling, performance tuning).
• Strong Python ETL and data processing skills.

Responsabilidades

• Design, optimize, and maintain SQL Server databases.
• Develop and run Python ETL pipelines for financial data.
• Integrate market data flows from external/internal providers.
• Build and maintain automated risk calculation processes.
• Ensure platform reliability and support Docker containerized environments.
• Implement DevOps practices with Git and CI/CD.
• Develop, calibrate, implement and review quantitative risk models and stress tests.

Conocimientos

SQL Server

Python

DevOps tools

English & Spanish

Data pipelines

Herramientas

Git

Docker

CI/CD

Descripción del empleo

SIX Clearing is looking for an IT Application Analyst to join our Financial Quantitative Risk Management team in Spain. You will focus on IT engineering, data platforms, and operational excellence to ensure robust, scalable data and infrastructure in a mission-critical environment.

You will design and optimize SQL Server databases, build Python ETL pipelines, manage market data flows, and support DevOps practices with Git and Docker to sustain accurate risk calculations and resilient platforms.