A Snapshot of Your Day

As a Senior Professional Data Engineer within Siemens Energy’s Application Development team, you will play a crucial role in designing, building, and managing the database infrastructure that supports our external-facing fleet management applications. This position is vital for ensuring business continuity and empowering data-driven capabilities across our digital products. Your responsibilities will focus on two key areas: creating robust data architectures and optimizing data systems for performance. This includes developing scalable ETL/ELT pipelines for advanced analytics using the Azure data stack, with a strong emphasis on handling large data volumes. Additionally, you will be responsible for the continuous performance tuning of complex analytical queries, ensuring the reliability, integrity, and efficiency of our SQL-based data platforms. The idóneo candidate is a seasoned data professional with a passion for performance optimization and an analytical mindset. Advanced expertise in SQL, data modeling, and the Microsoft Azure ecosystem is essential.



This senior role requires the ability to work independently on complex challenges, contribute to the evolution of our data architecture, and mentor other team members on best practices in database engineering and performance.

How You’ll Make An Impact

• Design and implement logical and physical data models that support new application features and advanced analytics, ensuring alignment with business needs.
• Develop, test, and maintain robust, scalable ETL/ELT pipelines for large data volumes using Azure Data Factory and related services, enhancing data accessibility and usability.
• Contribute to the evolution of a modern cloud-based data architecture, ensuring it meets functional and analytical requirements while supporting future growth.
• Implement processes and controls to guarantee high data quality, integrity, and efficiency throughout the data lifecycle, fostering trust in data-driv

📌 Data Engineer (Madrid)
🏢 Siemens Energy
📍 Madrid