Senior Azure Data Engineer

Join a leading global financial institution recognized for its strong presence in capital markets and commitment to innovation across technology and data. The organization operates in a highly regulated, fast-paced banking environment where data plays a critical role in decision-making, risk management, and client services. Teams are composed of experienced engineers and data professionals working collaboratively to modernize data platforms and drive enterprise-wide transformation initiatives. This role contributes to building scalable, secure, and high-performance data ecosystems supporting critical business functions.

What s In Store For You:

• Engagement: W2 only (no C2C/1099)
• Opportunity to work on enterprise-scale Azure data platforms within a major financial institution
• Exposure to modern cloud technologies and large-scale data transformation initiatives
• Opportunity to contribute to high-impact data modernization projects

How You Will Make An Impact:

• Design and build scalable data pipelines using Azure technologies to support enterprise data initiatives
• Develop and optimize data solutions leveraging Azure Data Factory, Synapse Analytics, and Databricks
• Implement and maintain data lake architectures for structured and unstructured data
• Ensure data security, governance, and compliance across all data platforms
• Collaborate with cross-functional teams including data analysts, architects, and business stakeholders
• Drive performance tuning and optimization of data workflows and processing

Microsoft Windows Azure, Ecosystems, Global Financial Markets, Scalable System Development, Customer Support/Service, Capital Markets, Banking Services, Risk Management, Business Support, Microsoft Windows Azure, Are you an experienced Azure Data Engineering professional ready to make an impact?

• 10+ years of experience in data engineering or related field
• Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Databricks
• Proven expertise building and maintaining large-scale data pipelines and data lakes
• Solid understanding of data security, governance, and compliance in enterprise environments
• Experience working in cloud-based architectures, preferably within financial services or regulated industries
• Strong SQL and data modeling skills
• Familiarity with programming languages such as Python or Scala
• Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment
• Azure certifications are highly preferred