Data Engineer

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BME - Bolsas y Mercados Españoles - drives the transformation of financial markets and belongs to SIX, the third largest exchange group in Europe.

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. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Madrid | Working from home up to 40% | Reference 7658

Are you passionate about data, technology, and creating meaningful impact? Join our Analytics Transformation team and help shape the future of data and analytics. We play a critical role in driving technological transformation and aligning enterprise-wide data and analytics initiatives. As part of the team, you’ll help design and evolve our data infrastructure, support the transition to a cloud-based analytics ecosystem, and actively contribute to establishing and continuously developing the environment.

We work closely with stakeholders in Spain, Switzerland, and the UK to ensure high-quality, reliable financial data is available for reporting, analytics, and informed decision-making.

• Partner with business stakeholders to translate requirements into technical solutions
• Design, build, and maintain data pipelines and prototypes to analyze large-volume transactional data
• Develop and optimize solutions using Databricks, PySpark, Python, SQL, and Azure Data Factory
• Ensure data quality, accuracy, and consistency of financial data
• Troubleshoot data issues end-to-end and identify root causes
• Collaborate with IT, architects, and analysts to align with platform standards
• Document data flows and support continuous improvement of data processes
• Develop and enhance a central cloud data model enabling standardized, cross country analytics

• Degree in Computer Science, Engineering, Business Informatics, or a related field with a strong interest for finance, data and technology
• Strong experience as a Data Engineer in a business-facing role
• Strong experience working with Databricks, Azure, Python, PySpark, and ADF
• Experience working with financial data and data quality controls
• Ability to translate ambiguous requirements into practical solutions
• Strong problem-solving, communication, and collaboration skills
• Familiarity with CI/CD and a detail-oriented, ownership-driven mindset
• Professional fluency in English and Spanish
• Experience applying AI/ML pragmatically to enhance data quality, detect anomalies, or support advanced analytics is beneficial

If you have any questions, check out our FAQ page or call Yuliya Stoyko at .

For this vacancy we only accept direct applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

Flexible Work Models We trust our employees and offer a work environment that is well-balanced, productive and fosters success.

Personal Development You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.

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