Job Description

CANDIDATES MUST COME FROM A VERY LARGE, WELL-KNOWN ENTERPRISE OR A MEGA BANK, CAPITAL MARKETS FINANCIAL SERVICES COMPANY, HEDGE FUND OR TECHNOLOGY COMPANY CANDIDATES WITH RECENT FINANCIAL EXPERIENCE WILL GET FIRST PRIORITY.

Azure Data Engineer / Full Stack Developer

Position Overview

We are seeking a highly skilled Azure Data Engineer / Full Stack Developer to join our team and play a key role in advancing our enterprise data platform. This hands-on position combines data engineering, application development, and cloud integration expertise to deliver scalable, high-performance solutions within the Microsoft Azure ecosystem. The ideal candidate will have strong experience building modern data platforms, developing backend services, and supporting enterprise-grade applications in a cloud environment.

Key Responsibilities

• Design, develop, and maintain scalable end-to-end data pipelines supporting enterprise data initiatives.
• Build and optimize complex SQL queries, data models, stored procedures, and transformation processes.
• Develop backend applications, APIs, and services using C# and .NET technologies.
• Implement and support Azure-based solutions utilizing Azure Data Factory, Azure Functions, and related cloud services.
• Design and develop RESTful APIs and service layers to facilitate data access and integration with downstream applications.
• Develop and maintain batch and event-driven processing frameworks to support business requirements.
• Ensure data quality, integrity, security, and performance across all platform components.
• Implement monitoring, logging, alerting, and operational support processes for production environments.
• Collaborate closely with business stakeholders, data engineers, architects, and DevOps teams to deliver reliable solutions.
• Participate in code reviews, architectural discussions, and the establishment of development standards and best practices.
• Support production deployments, troubleshoot complex issues, and drive continuous platform improvements.

Required Qualifications

• 10+ years of experience in software engineering, data engineering, or related technical roles.
• Strong expertise in SQL development, data modeling, query optimization, and performance tuning.
• Hands-on experience developing applications and services using C# and .NET.
• Proven experience working with Microsoft Azure services, including Azure Data Factory and Azure Functions.
• Experience designing and developing APIs and service-oriented architectures.
• Strong understanding of ETL/ELT methodologies, data integration, and pipeline design.
• Experience working with large-scale, distributed, or cloud-based data platforms.
• Excellent analytical, troubleshooting, communication, and problem-solving skills.

Preferred Qualifications

• Experience designing and implementing modern cloud-native data architectures.
• Hands-on experience with Apache technologies such as Kafka, Spark, or Flink.
• Knowledge of event-driven architecture patterns and Azure Event Hubs.
• Familiarity with Azure App Configuration and Azure API Management (APIM).
• Experience implementing CI/CD pipelines and DevOps best practices.
• Prior experience within financial services, capital markets, asset management, or investment management environments.

What You'll Bring

• Passion for building scalable, high-quality cloud solutions.
• Strong collaboration skills and ability to work across technical and business teams.
• Commitment to engineering excellence, automation, and continuous improvement.
• Ability to thrive in a fast-paced, enterprise environment supporting mission-critical systems.

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