Data Engineer

SIX Digital Exchange (SDX) drives the transformation of financial markets.

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 7242

We are looking an experienced Data Engineer to scale our cloud-based data infrastructure and pipelines. You’ll deliver high-quality, trusted data for analytics, BI, and machine learning by working with Azure, Databricks, and modern data architecture, collaborating across teams to build efficient, secure data solutions

What You Will Do

• Design and develop scalable data pipelines using Azure Data Factory and Databricks, implementing medallion architecture layers (bronze, silver, gold)
• Integrate and transform data from structured and unstructured sources using PySpark, SQL, Bash, and Scala
• Support CI/CD practices with Azure DevOps, ensuring data quality, lineage, monitoring, and performance tuning
• Collaborate in agile teams to deliver reliable, production-grade data products

What You Bring

• Bachelor’s or Master’s in Computer Science, Engineering, or related field, with 5+ years of Data Engineering experience
• Strong expertise in Azure services (Data Factory, Storage, DevOps) and hands-on experience with Databricks, Unity Catalog, and medallion architecture
• Proficiency in PySpark, SQL, Bash scripting, and Scala
• Experience building batch and near real-time data pipelines with a good understanding of cloud data governance and security
• Excellent problem-solving, collaboration, and communication skills in Englis

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