Azure Data Engineer

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Role Summary: We are seeking an experienced Azure Data Engineer to support Procurement modernization initiatives that enable secure and reliable data exchange across multiple Procurement applications. The successful candidate will design and develop scalable cloud-based data solutions using Azure Data Factory, Azure Data Lake, Azure Functions, Terraform, SQL, and Python. The role requires strong data engineering and data modeling experience, along with the ability to collaborate effectively with developers, analysts, and business stakeholders. Key Responsibilities: • Design, develop, and maintain scalable data pipelines and ETL processes using Azure cloud services. • Build and support data integration solutions using Azure Data Factory, Azure Data Lake, Azure SQL, Azure Functions, and Terraform. • Develop robust data models that support integration and reporting requirements across Procurement applications. • Collaborate with developers, analysts, and business stakeholders to understand requirements and translate them into reliable and efficient data solutions. • Optimize data processing and storage solutions for performance, scalability, reliability, and cost efficiency. • Implement data security and compliance controls in alignment with organizational standards, industry best practices, and applicable regulatory requirements. • Troubleshoot data pipeline issues and support the timely resolution of production incidents. • Develop and maintain technical documentation covering data architecture, integration processes, data models, and engineering standards. • Contribute to code reviews, testing, deployment, and continuous improvement of engineering practices. Required Skills: • 5 to 7 years of relevant technology experience, including at least 5 years of data engineering experience. • 5 years of hands-on experience with Azure Data Factory. • 5 years of experience in data engineering and data modeling. • 5 years of hands-on experience with Terraform. • 5 years of strong SQL experience. • 3 years of experience with Azure Functions. • 2 years of Python experience. • Experience working with Azure Data Lake, Azure Storage, and Azure SQL.