We’re seeking someone to join our Data Obfuscation team as a Full Stack Developer – Data Engineering to design and deliver scalable, secure, and reusable data platforms and services that support enterprise data protection and obfuscation initiatives.

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 a Cybersecurity Engineering position at Associate level, which is part of the job family responsible for monitoring, detecting, and responding to security incidents to ensure the organization's systems and data are protected from actual and potential threats or breaches.

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 and develop resilient on-prem and multi-cloud database solutions with Java, Spring Boot, Angular, and Python
Develop high-performance solutions that efficiently handle large-scale data and metadata operations leveraging Python’s threading and multiprocessing libraries and ensure robust error handling and resource management in parallel execution environments.
Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability.
Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend services, and integrations with database and ETL platforms.
Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.
Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniques
Design and build automations and tooling to enable firmwide data engineering and application development teams, helping them optimize data processing based on their specific database platforms and user needs.
Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency.
Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes.
Develop solutions leveraging database backup and restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement.
Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel.

What you'll bring to the role

At least 4 years’ relevant experience would generally be expected to find the skills required for this role.
Proven track record in designing and implementing complex database and data solutions with full stack application development.
Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.).
Hands-on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular.
Strong understanding of API design, microservices architecture, authentication mechanisms (OAuth, service principals, token-based authentication), and secure application development practices.
2+ years of expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.
Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.
Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend, Kafka, and/or Informatica).
Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.
Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.

#LI-Hybrid #GLTECH #LI-LM1

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.

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Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

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Full-Stack Data Engineer

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