Data Engineer
Confirmed on the employer's own hiring board on Sep 28, 2026. First seen by Alion on Sep 24, 2026.
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.
Data Engineer
Madrid|Work from home up to 40%| Reference8302
Are you passionate about data, technology, and making a meaningful impact? Join our Data Analytics team and help shape the future of data and analytics for our Exchanges Business Unit. We deliver easy access to actionable insights and drive data innovation, empowering both our organization and our customers to operate smarter and grow faster.
As part of the team, you will design and evolve our data infrastructure, support the transition to a cloud-based analytics ecosystem, and actively contribute to building and continuously improving our analytics environment. If you are excited by the challenge of scaling data capabilities and influencing strategic outcomes, we would love to meet you.
What You Will Do
- Design, build, and maintain data pipelines and prototypes to analyze large-volume transactional data
- Develop and optimize our data analytics platform by using Databricks, PySpark, Python, SQL, and Azure Data Factory
- Support the team in the creation of reports providing insights to internal and external stakeholders
- Collaborate with IT, architects, and analysts to align with platform standards
- Ensure data quality, accuracy, and consistency of financial data
- Troubleshoot data issues end-to-end and identify root causes
What You Bring
- Degree in Computer Science, Engineering, Business Informatics, or a related field with a strong interest for finance, data and technology
- Strong experience working with Databricks, Azure, Python, PySpark, and Azure Data Factory
- Strong problem-solving, communication, and collaboration skills
- Familiarity with CI/CD and a detail-oriented, ownership-driven mindset
- Experience as a Data Engineer in a business-facing role
- Professional fluency in English
- Experience working with financial data and data quality controls is beneficial
- 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 Stoykoat +34 917095993.
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.