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
#J-18808-Ljbffr

📌 Senior Engineer, Data Engineering (Madrid)
🏢 BME | Bolsas y Mercados Españoles
📍 Madrid