Be Part of a High-Performing Team

Join a global financial services organization undergoing a large-scale digital transformation focused on modernizing technology and building a data-driven future. The team operates at the intersection of capital markets, securities, and cloud engineering, delivering enterprise-grade data platforms that support critical business operations. Engineers collaborate across regions in a fast-paced, highly technical environment where innovation, quality, and reliability are central to success.

What’s In Store for You

This role offers the opportunity to work on a strategic, cloud-first data platform supporting complex financial data domains. Team members gain exposure to enterprise Azure environments, modern data engineering practices, and global collaboration while contributing to a long-term transformation initiative.

How You Will Make an Impact

• Design and develop scalable data pipelines on Azure cloud platforms
• Build and enhance reference data systems for securities and pricing data
• Implement ETL and ELT workflows supporting multiple data domains
• Develop and maintain APIs for data access and integration
• Collaborate with global engineering and data strategy teams
• Ensure solutions meet internal development, security, and governance standards
• Contribute to the ongoing evolution of a strategic enterprise data platform

Are You an Experienced Data Engineer Ready to Make an Impact?

• 5–7 years of experience in data engineering or related roles
• Hands-on expertise with Azure cloud services, including Data Factory, Data Lake Gen2, Databricks, Functions, and databases
• Strong SQL skills across relational and/or NoSQL data stores
• Python development experience, including API development using frameworks such as FastAPI
• Solid understanding of ETL/ELT processes and data pipeline design
• Experience working within CI/CD pipelines and DevOps environments
• Familiarity with financial services, market data, or capital markets is a plus
• Strong communication skills and ability to collaborate across distributed teams

#dice