Risk Data & Analytics Engineer

BME | Bolsas y Mercados Españoles; Madrid; Híbrido; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid schedule

37.5 work hours

Daily meal allowance

Medical insurance

Pension plan

Learning platforms

Parking + shuttle

Descripción de la vacante

BME | Bolsas y Mercados Españoles in Madrid is seeking a Risk Data Engineer to help build and operate the group’s risk data platform, pipelines, and reporting capabilities. The role sits at the crossroads of risk analytics, financial market infrastructures, and modern IT systems, with a Microsoft Azure and Databricks-based stack.

You will translate complex risk data into decision-relevant insights for senior stakeholders, drive automation, and collaborate with Risk, IT, and Business teams to

Formación

• Degree in Economics, Finance, Data Science, or related field

Responsabilidades

• Develop and enhance the Group’s risk data platform, data pipelines, and reporting capabilities.
• Translate complex risk data into decision‑relevant insights and dashboards
• Drive automation and scalability of risk data processing and analytics workflows
• Act as a key interface between Risk, IT, and Business functions to deliver data-driven solutions
• Take ownership of selected areas and drive the further development of group‑wide risk analytics capabilities
• Design and enhance data pipelines, automate risk data processes, and support the delivery of reliable risk information for decision‑making

Conocimientos

Data analytics

Stakeholder communication

Ownership

Cloud concepts

Educación

Degree in Economics, Finance, Data Science, or related field

Herramientas

SQL

Python

Spark

PowerBI

Databricks

Azure

Descripción del empleo

Are you interested in the intersection of financial markets, risk management, and data engineering? Do you enjoy building scalable data solutions and automated processes that enable risk-informed decision-making? If so, this role offers the opportunity to contribute directly to group‑wide risk management at the core of the organization.

The Risk Methodology & Reporting unit plays a central role in shaping the global risk framework and advancing the risk data infrastructure. The team develops and operates the risk data platform and delivers high‑quality, decision‑relevant reporting to senior management and external stakeholders. We offer an attractive Microsoft Azure and Databricks-based technology stack, providing opportunities to work with modern data engineering frameworks, scalable cloud architectures, and the latest AI technologies.

In this role, you will work with a team of highly motivated, self‑driven specialists at the crossroads of risk analytics, financial market infrastructures, and state‑of‑the‑art IT systems.

What You Will Do

• Develop and enhance the Group’s risk data platform, data pipelines, and reporting capabilities.
• Translate complex risk data into decision‑relevant insights and dashboards
• Drive automation and scalability of risk data processing and analytics workflows
• Act as a key interface between Risk, IT, and Business functions to deliver data-driven solutions
• Take ownership of selected areas and drive the further development of group‑wide risk analytics capabilities
• Design and enhance data pipelines, automate risk data processes, and support the delivery of reliable risk information for decision‑making

What You Bring

• Degree in Economics, Finance, Data Science, or a related field, with relevant professional experience in risk management, data engineering & analytics, or financial services
• Strong ability to structure and communicate complex topics for senior stakeholders, with a self‑driven working style and a high level of ownership and accountability
• Proven +4 years of hands‑on experience with data engineering & analytics tools (e.g., SQL, Python, Spark, PowerBI); experience with Databricks and MS Azure is a strong plus
• Conceptual strength with the ability to link analytical results to business and risk implications
• Fluent English, both written and spoken; Spanish and/or German are an advantage

What We Offer

• Hybrid model up to 40% working from home
• 37,5 hours/week with flexible schedule and 29+2 holidays
• Daily meal allowance
• Additional Medical Insurance for employee and family
• Pension fund
• Access to technical and language learning platforms
• Free parking spots, charger spots and shuttle bus (only for Las Rozas - Madrid location)