Data Engineer- Associate/Director- Software Engineering

We’re seeking someone to join our FRPPE Tech team as a Data Engineer, in Finance Technology at Morgan Stanley delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms, modern engineering practices, and is a pioneer in leveraging Gen AI for finance productivity—building innovative solutions for automation and efficiency.  

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is Director position that develops and maintains software solutions that support business needs.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

What you’ll do in the role:

• Design, develop, and maintain robust data pipelines, ETL processes, and large-scale data warehouse solutions to support enterprise-level reporting and analytics initiatives.
• Drive automation of data workflows and reporting processes to improve efficiency and reduce manual intervention, leveraging Gen AI and AI-driven solutions.
• Enable and optimize cloud-based data platforms for scalable data storage, processing, and reporting.
• Collaborate with business stakeholders, data scientists, and engineering teams to understand requirements and deliver high-quality data solutions.
• Optimize and troubleshoot SQL queries, data models, and ETL scripts for performance and reliability.
• Ensure data integrity, quality, and security across all stages of the data lifecycle.
• Document data flows, processes, and technical solutions for ongoing support and knowledge sharing.
• Participate in agile ceremonies, continuous improvement initiatives, and foster a culture of innovation and learning.

What you’ll bring to the role:

• 3–8 years of hands-on experience in data engineering, database development, or related roles.   
• Strong expertise in SQL (query optimization, data modeling, and performance tuning).
• Demonstrated experience in leveraging Gen AI, Copilot, or AI-based tools for data engineering, automation, or reporting, including design, code completion, review, and automated test case generation.
• Proficiency with Snowflake (or similar cloud data platforms) and Python for data processing and automation.
• Experience with ETL tools, scripting (Shell/Python), and building scalable data pipelines.
• Solid understanding of data warehousing concepts and best practices.
• Experience with automated testing and testing frameworks.

Additional Skills (Good to Have):

• Familiarity with Power BI for data visualization and reporting.
• Experience with Apache Airflow or similar workflow orchestration tools.
• Exposure to OLAP tools and multidimensional data modeling.
• Prior exposure to the finance or investment banking domain is an advantage.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to work collaboratively in a global team environment.
• Dynamic, flexible, and eager to learn new technologies; solution-oriented and adaptable to changing priorities.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.