Full-Stack Data Engineer
Morgan Stanley24 hours ago
Glasgow, United KingdomMid Level
Responsibilities
- Design and develop resilient on-premises and multi-cloud database solutions using Java, Spring Boot, Angular, and Python.
- Build high-performance Python solutions using threading, multiprocessing, concurrency, asynchronous execution, error handling, and resource management.
- Develop secure database and ETL capabilities using Java collections, data structures, algorithms, and object-oriented design.
- Create full-stack applications with responsive user interfaces, RESTful APIs, backend services, and database and ETL integrations.
- Build self-service capabilities, dashboards, workflow automation, metadata-driven solutions, and microservices.
- Develop AI-driven solutions for discovering, classifying, and protecting sensitive information in unstructured data through natural language processing and data masking.
- Create automation and tooling for data engineering and application development teams.
- Contribute to modernization, platform standardization, observability, and cost-efficiency initiatives.
- Design and optimize data pipelines and ETL processes, including ELT, Spark processing, streaming, replication, partitioning, clustering, change data capture, and time travel.
- Develop database backup and restore, DDL generation, database access management, schema movement, and object-level data transfer solutions.
Requirements
- At least 4 years of relevant experience designing and implementing complex database, data, and full-stack application solutions.
- Strong database and data engineering experience across platforms such as PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, and Oracle.
- Hands-on experience with Java/Spring Boot, Python, REST APIs, and Angular for full-stack application development.
- Strong understanding of API design, microservices architecture, OAuth, service principals, token-based authentication, and secure application development.
- At least 2 years of experience writing complex Python scripts for multithreaded, multiprocess, concurrent, and asynchronous solutions.
- Experience with distributed computing tools such as Apache Spark for Python is preferred.
- Experience designing AI-powered solutions using large language models, retrieval-augmented generation, and agentic workflows is preferred.
- Extensive data pipeline and data architecture experience, preferably with Talend, Kafka, and/or Informatica.
- Expertise in performance optimization, scalability, troubleshooting, analytical problem-solving, and software design.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Benefits
- Hybrid work arrangement.
- Flexible working arrangements may be available.
- Morgan Stanley states that it offers comprehensive employee benefits and perks, along with employee and family support across the work-life journey.
Tech Stack
AngularApache KafkaApache SparkIBM DB2InformaticaJavaMicrosoft SQL ServerMongoDBPostgreSQLPythonSnowflakeSpring BootTalend
Categories
Data EngineeringFull Stack
About Morgan Stanley
Morgan Stanley is a global financial services firm that provides investment banking, sales and trading, wealth management, and investment management to corporations, governments, institutions, and individuals. It earns fees, commissions, and interest and trading income across advisory, underwriting, brokerage, and asset management businesses. Founded in 1935 and headquartered in New York, the public company operates in more than 40 countries through thousands of offices, including a large U.S. wealth management franchise.