As a Data Engineer within the Architecture & Modernization team, you will be instrumental in building and maintaining the data infrastructure for OneRiskStore project. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. We value diversity of thought and are committed to building a team that reflects the diversity of our global community

We offer:

• A supportive and vibrant multinational environment, we accept individual differences and believe in collaborative team working
• Contingent/Leased assignment working onsite at Morgan Stanley
• Contract via 3rd party agency

You’ll do:

• Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.
• Work with structured and unstructured data to ensure it is accessible and usable.
• Optimize data systems for performance and scalability.
• Implement data quality and data governance standards.
• Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.
• Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.
• Participate in code reviews and contribute to the improvement of development processes.

You have:

• 8 years of being a practitioner in data engineering or a related field.
• Proficiency in programming skills in Python
• Experience with data processing frameworks like Apache Spark or Hadoop.
• Knowledge of database systems (SQL and NoSQL).
• Experience working on Snowflake and Databricks.
• Familiarity with cloud platforms (AWS, Azure) and their data services.
• Understanding of data modeling and data architecture principles.
• Experience with data warehousing concepts and technologies.
• Experience with message queues and streaming platforms (e.g., Kafka).
• Experience with version control systems (e.g., Git).
• Experience using Jupyter notebooks for data exploration, analysis, and visualization.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a geographically distributed team.

Nice to have:

• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with data governance and security best practices (e.g., data access control, data masking).
• Experience with Agile methodologies.
• Familiarity with data catalog and metadata management tools (e.g., Collibra).
• Familiarity with CI/CD pipelines and DevOps practices.

Team Profile:

Data Architecture and Modernization team focusses on firmwide data arch and modernization initiatives. Development of data strategy, data patterns and data modernization efforts and tools falls under the teams remit. The team engages with various divisional architecture governance committees and provides consultation in data architecture related decisions.

About us:

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services. At Morgan Stanley, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas.

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.