What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. Come and shape the future of finance with us. Madrid | Working from home up to 40% | Reference 8226 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 general 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. 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 Design and enhance data pipelines, automate risk data processes, and support the delivery of reliable risk information for decision-making 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 Fluent English, both written and spoken; Spanish and/or German are an advantage Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Agile Working Methods

Whether through scrum or design thinking, we solve exciting tasks together in teams.

📌 Data Engineer (Home-based) (Madrid)
🏢 Six Group Services
📍 Madrid