Data Engineer

BME | Bolsas y Mercados Españoles; Madrid; Presencial; EUR 42.000 - 65.000; Jornada completa

Descripción de la vacante

BME | Bolsas y Mercados Españoles in Madrid seeks a Data Analytics professional to design and evolve data infrastructure and help transition to a cloud-based analytics ecosystem. You will build pipelines, develop platforms with Databricks, PySpark, Python, and SQL, and partner with stakeholders to deliver actionable insights.

Ideal candidates have a degree in a related field, strong problem-solving and collaboration skills, and fluency in English.

Formación

• Degree in Computer Science, Engineering, Business Informatics, or a related field.
• Strong experience with Databricks, Azure, Python, PySpark and Azure Data Factory.
• Fluent English and ability to collaborate across teams.

Responsabilidades

• Design, build, and maintain data pipelines and prototypes for large-volume transactional data.
• Develop and optimize the analytics platform using Databricks, PySpark, Python, SQL, and Azure Data Factory.
• Support report creation for 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.

Conocimientos

problem-solving

communication

collaboration

Educación

Degree in Computer Science, Engineering, Business Informatics, or related field

Herramientas

Databricks

Azure Data Factory

Python

PySpark

SQL

Descripción del empleo

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